GitLab

Summary:
Add support for CTC lexicon decoder without LM support by adding a non language model `ZeroLM` that returns score 0 for everything. Generalize the decoder class/API a bit to support this, adding it as an option for the kenlm decoder at the moment (will likely be separated out from kenlm when adding support for other kinds of LMs in the future)

Pull Request resolved: https://github.com/pytorch/audio/pull/2174

Reviewed By: hwangjeff, nateanl

Differential Revision: D33798674

Pulled By: carolineechen

fbshipit-source-id: ef8265f1d046011b143597b3b7c691566b08dcde

Summary:
additionally add decoding results for wav2vec2 large and also on the test-clean dataset

Pull Request resolved: https://github.com/pytorch/audio/pull/2161

Reviewed By: mthrok

Differential Revision: D33644670

Pulled By: carolineechen

fbshipit-source-id: a219a15af46f82a6bd90169bb3001dbad8f0a96e

Summary:
add script for running CTC beam search decoder on librispeech dataset with torchaudio pretrained wav2vec2 models

Pull Request resolved: https://github.com/pytorch/audio/pull/2130

Reviewed By: mthrok

Differential Revision: D33419436

Pulled By: carolineechen

fbshipit-source-id: 0a0d00f4c17ecdbb497c9eda78673aa939d73c57