facebook/wav2vec2-large

The base model pretrained on 16kHz sampled speech audio . When using the model make sure that your speech input is also sampled at 16Khz . Note that this model should be fine-tuned on a downstream task, like Automatic Speech Recognition . When lowering the amount of labeled data to one hour, wav2vec 2.0 outperforms the previous state of the art on the 100 hour subset while using 100 times less labeled data . The original model can be found under https://://github.com/pytorch/fairseq/tree/master/examples/wav2vec-20-20.                                                       : Wav2Vec2,