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Merge pull request #27 from FelippeChemello/main

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Add PT (pt-br) align support
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m-bain
2023-01-11 15:35:15 +00:00
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parent d51353a4b6 7459bf8ad0
commit a4edb130ef
2 changed files with 2 additions and 1 deletions
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README.md
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@ -93,7 +93,7 @@ https://user-images.githubusercontent.com/36994049/207743923-b4f0d537-29ae-4be2-
The phoneme ASR alignment model is *language-specific*, for tested languages these models are [automatically picked from torchaudio pipelines or huggingface](https://github.com/m-bain/whisperX/blob/e909f2f766b23b2000f2d95df41f9b844ac53e49/whisperx/transcribe.py#L22). The phoneme ASR alignment model is *language-specific*, for tested languages these models are [automatically picked from torchaudio pipelines or huggingface](https://github.com/m-bain/whisperX/blob/e909f2f766b23b2000f2d95df41f9b844ac53e49/whisperx/transcribe.py#L22).
Just pass in the `--language` code, and use the whisper `--model large`. Just pass in the `--language` code, and use the whisper `--model large`.
Currently default models provided for `{en, fr, de, es, it, ja, zh, nl, uk}`. If the detected language is not in this list, you need to find a phoneme-based ASR model from [huggingface model hub](https://huggingface.co/models) and test it on your data. Currently default models provided for `{en, fr, de, es, it, ja, zh, nl, uk, pt}`. If the detected language is not in this list, you need to find a phoneme-based ASR model from [huggingface model hub](https://huggingface.co/models) and test it on your data.
#### E.g. German #### E.g. German

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whisperx/transcribe.py
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@ -32,6 +32,7 @@ DEFAULT_ALIGN_MODELS_HF = {
"zh": "jonatasgrosman/wav2vec2-large-xlsr-53-chinese-zh-cn", "zh": "jonatasgrosman/wav2vec2-large-xlsr-53-chinese-zh-cn",
"nl": "jonatasgrosman/wav2vec2-large-xlsr-53-dutch", "nl": "jonatasgrosman/wav2vec2-large-xlsr-53-dutch",
"uk": "Yehor/wav2vec2-xls-r-300m-uk-with-small-lm", "uk": "Yehor/wav2vec2-xls-r-300m-uk-with-small-lm",
"pt": "joaoalvarenga/wav2vec2-large-100k-voxpopuli-pt"
} }