---
language: vie
datasets:
- legacy-datasets/common_voice
- vlsp2020_vinai_100h
- AILAB-VNUHCM/vivos
- doof-ferb/vlsp2020_vinai_100h
- doof-ferb/fpt_fosd
- doof-ferb/infore1_25hours
- linhtran92/viet_bud500
- doof-ferb/LSVSC
- doof-ferb/vais1000
- doof-ferb/VietMed_labeled
- NhutP/VSV-1100
- doof-ferb/Speech-MASSIVE_vie
- doof-ferb/BibleMMS_vie
- capleaf/viVoice
metrics:
- wer
pipeline_tag: automatic-speech-recognition
tags:
- transcription
- audio
- speech
- chunkformer
- asr
- automatic-speech-recognition
license: cc-by-nc-4.0
model-index:
- name: ChunkFormer Large Vietnamese
  results:
  - task:
      name: Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: common-voice-vietnamese
      type: common_voice
      args: vi
    metrics:
    - name: Test WER
      type: wer
      value: 6.66
    source:
      name: Common Voice Vi Leaderboard
      url: https://paperswithcode.com/sota/speech-recognition-on-common-voice-vi
  - task:
      name: Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: VIVOS
      type: vivos
      args: vi
    metrics:
    - name: Test WER
      type: wer
      value: 4.18
    source:
      name: Vivos Leaderboard
      url: https://paperswithcode.com/sota/speech-recognition-on-vivos
  - task:
      name: Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: VLSP - Task 1
      type: vlsp
      args: vi
    metrics:
    - name: Test WER
      type: wer
      value: 14.09
---

# **ChunkFormer-Large-Vie: Large-Scale Pretrained ChunkFormer for Vietnamese Automatic Speech Recognition**
<style>
img {
 display: inline;
}
</style>
[![Ranked #1: Speech Recognition on Common Voice Vi](https://img.shields.io/badge/Ranked%20%231%3A%20Speech%20Recognition%20on%20Common%20Voice%20Vi-%F0%9F%8F%86%20SOTA-blueviolet?style=for-the-badge&logo=paperswithcode&logoColor=white)](https://paperswithcode.com/sota/speech-recognition-on-common-voice-vi)
[![Ranked #1: Speech Recognition on VIVOS](https://img.shields.io/badge/Ranked%20%231%3A%20Speech%20Recognition%20on%20VIVOS-%F0%9F%8F%86%20SOTA-blueviolet?style=for-the-badge&logo=paperswithcode&logoColor=white)](https://paperswithcode.com/sota/speech-recognition-on-vivos)

[![License: CC BY-NC 4.0](https://img.shields.io/badge/License-CC%20BY--NC%204.0-lightgrey.svg)](https://creativecommons.org/licenses/by-nc/4.0/) 
[![GitHub](https://img.shields.io/badge/GitHub-ChunkFormer-blue)](https://github.com/khanld/chunkformer)
[![Paper](https://img.shields.io/badge/Paper-ICASSP%202025-green)](https://arxiv.org/abs/2502.14673)
[![Model size](https://img.shields.io/badge/Params-110M-lightgrey#model-badge)](#description)

---

<a name = "citation" ></a>
## Citation
If you use this work in your research, please cite:

```bibtex
@INPROCEEDINGS{10888640,
  author={Le, Khanh and Ho, Tuan Vu and Tran, Dung and Chau, Duc Thanh},
  booktitle={ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, 
  title={ChunkFormer: Masked Chunking Conformer For Long-Form Speech Transcription}, 
  year={2025},
  volume={},
  number={},
  pages={1-5},
  keywords={Scalability;Memory management;Graphics processing units;Signal processing;Performance gain;Hardware;Resource management;Speech processing;Standards;Context modeling;chunkformer;masked batch;long-form transcription},
  doi={10.1109/ICASSP49660.2025.10888640}}
}
```

---
<a name = "contact"></a>
## Contact
- khanhld218@gmail.com
- [![GitHub](https://img.shields.io/badge/github-%23121011.svg?style=for-the-badge&logo=github&logoColor=white)](https://github.com/khanld)
- [![LinkedIn](https://img.shields.io/badge/linkedin-%230077B5.svg?style=for-the-badge&logo=linkedin&logoColor=white)](https://www.linkedin.com/in/khanhld257/)