facebook
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wav2vec2-xls-r-300m

xls_r_pretrained

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patrickvonplaten commited on Nov 18, 2021

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@@ -13,8 +13,6 @@ license: apache-2.0
 ![model image](https://raw.githubusercontent.com/patrickvonplaten/scientific_images/master/xls_r.png)
-![model image](https://raw.githubusercontent.com/patrickvonplaten/scientific_images/master/xls_r.png)
 [Facebook's Wav2Vec2 XLS-R](https://ai.facebook.com/blog/wav2vec-20-learning-the-structure-of-speech-from-raw-audio/) counting **300 million** parameters.
 XLS-R is Facebook AI's large-scale multilingual pretrained model for speech (the "XLM-R for Speech"). It is pretrained on 436k hours of unlabeled speech, including VoxPopuli, MLS, CommonVoice, BABEL, and VoxLingua107. It uses the wav2vec 2.0 objective, in 128 languages. When using the model make sure that your speech input is sampled at 16kHz.

 ![model image](https://raw.githubusercontent.com/patrickvonplaten/scientific_images/master/xls_r.png)
 [Facebook's Wav2Vec2 XLS-R](https://ai.facebook.com/blog/wav2vec-20-learning-the-structure-of-speech-from-raw-audio/) counting **300 million** parameters.
 XLS-R is Facebook AI's large-scale multilingual pretrained model for speech (the "XLM-R for Speech"). It is pretrained on 436k hours of unlabeled speech, including VoxPopuli, MLS, CommonVoice, BABEL, and VoxLingua107. It uses the wav2vec 2.0 objective, in 128 languages. When using the model make sure that your speech input is sampled at 16kHz.