chunked/nltk_chunking/tasks_text-to-speech/chunk_38.txt

replacements = [
     ("à", "a"),
     ("ç", "c"),
     ("è", "e"),
     ("ë", "e"),
     ("í", "i"),
     ("ï", "i"),
     ("ö", "o"),
     ("ü", "u"),
 ]
def cleanup_text(inputs):
     for src, dst in replacements:
         inputs["normalized_text"] = inputs["normalized_text"].replace(src, dst)
     return inputs
dataset = dataset.map(cleanup_text)

Now that you have dealt with special characters in the text, it's time to shift focus to the audio data.