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  [Facebook's Wav2Vec2](https://ai.facebook.com/blog/wav2vec-20-learning-the-structure-of-speech-from-raw-audio/)
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- The base model pretrained on 16kHz sampled speech audio.
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  Speech datasets from multiple domains were used to pretrain the model:
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  - [Libri-Light](https://github.com/facebookresearch/libri-light): open-source audio books from the LibriVox project; clean, read-out audio data
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  - [CommonVoice](https://huggingface.co/datasets/common_voice): crowd-source collected audio data; read-out text snippets
 
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  [Facebook's Wav2Vec2](https://ai.facebook.com/blog/wav2vec-20-learning-the-structure-of-speech-from-raw-audio/)
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+ The large model pretrained on 16kHz sampled speech audio.
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  Speech datasets from multiple domains were used to pretrain the model:
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  - [Libri-Light](https://github.com/facebookresearch/libri-light): open-source audio books from the LibriVox project; clean, read-out audio data
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  - [CommonVoice](https://huggingface.co/datasets/common_voice): crowd-source collected audio data; read-out text snippets