Wav2vec 2.0 model (“large-lv60k” architecture with an extra linear module), pre-trained on 60,000 hours of unlabeled audio from Libri-Light dataset [Kahn et al., 2020], and fine-tuned for ASR on 100 hours of transcribed audio from LibriSpeech dataset [Panayotov et al., 2015] (“train-clean-100” subset).
Originally published by the authors of wav2vec 2.0 [Baevski et al., 2020] under MIT License and redistributed with the same license. [License, Source]
Please refer to
torchaudio.pipelines.Wav2Vec2ASRBundlefor the usage.