GitLab

Summary:
Applies new import merging and sorting from µsort v1.0.

When merging imports, µsort will make a best-effort to move associated
comments to match merged elements, but there are known limitations due to
the diynamic nature of Python and developer tooling. These changes should
not produce any dangerous runtime changes, but may require touch-ups to
satisfy linters and other tooling.

Note that µsort uses case-insensitive, lexicographical sorting, which
results in a different ordering compared to isort. This provides a more
consistent sorting order, matching the case-insensitive order used when
sorting import statements by module name, and ensures that "frog", "FROG",
and "Frog" always sort next to each other.

For details on µsort's sorting and merging semantics, see the user guide:
https://usort.readthedocs.io/en/stable/guide.html#sorting

Reviewed By: lisroach

Differential Revision: D36402214

fbshipit-source-id: b641bfa9d46242188524d4ae2c44998922a62b4c

Summary:
update example ASR pipeline to use the recently added pretrained LM API for decoding

Pull Request resolved: https://github.com/pytorch/audio/pull/2317

Reviewed By: mthrok

Differential Revision: D35361354

Pulled By: carolineechen

fbshipit-source-id: cac7cf55bd9f86417f319191c1405819fe2a7b46

Summary:
Some arguments in `ArgumentParser` are not used in the `lexicon_decoder`. Fix them to use the ones in the parser.

Pull Request resolved: https://github.com/pytorch/audio/pull/2315

Reviewed By: carolineechen

Differential Revision: D35357678

Pulled By: nateanl

fbshipit-source-id: 4e70418cf03708b82bc158cafd9999a80ad08f92

Summary:
LM in example script was unintentionally changed to None when adding no LM support previously. this changes it back and is consistent with the WERs listed in the readme

Pull Request resolved: https://github.com/pytorch/audio/pull/2235

Reviewed By: nateanl

Differential Revision: D34273042

Pulled By: carolineechen

fbshipit-source-id: 824b1ce18195e39dc534b2ec9c5312bbe3bb1812

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