facebook
/

wav2vec2-base-960h

Automatic Speech Recognition Transformers PyTorch TensorFlow Safetensors

English wav2vec2 audio hf-asr-leaderboard Eval Results Inference Endpoints

Model card Files Files and versions Community

patrickvonplaten commited on Feb 4, 2021

Commit

233a80e

•

1 Parent(s): e1e8762

Update README.md

Files changed (1) hide show

README.md +2 -1

README.md CHANGED Viewed

@@ -12,7 +12,8 @@ license: apache-2.0
 [Facebook's Wav2Vec2](https://ai.facebook.com/blog/wav2vec-20-learning-the-structure-of-speech-from-raw-audio/)
-The base model pretrained and fine-tuned on 960 hours of Librispeech.
 [Paper](https://arxiv.org/abs/2006.11477)

 [Facebook's Wav2Vec2](https://ai.facebook.com/blog/wav2vec-20-learning-the-structure-of-speech-from-raw-audio/)
+The base model pretrained and fine-tuned on 960 hours of Librispeech on 16kHz sampled speech audio. When using the model
+make sure that your speech input is also sampled at 16Khz.
 [Paper](https://arxiv.org/abs/2006.11477)