GitLab

Summary:
Created new branch and brought in commits due to rebasing issues, resolved conflicts on new branch, close old branch.

Pull Request resolved: https://github.com/pytorch/audio/pull/2565

Reviewed By: nateanl, mthrok

Differential Revision: D38131189

Pulled By: skim0514

fbshipit-source-id: 96531480cf50562944abb28d70879f21b4609f15

Summary:
Previous Issue: --use-tmp-hub-dir expected the temp directories used to store large file to be deleted after each test case, but pytest erases directories after 3 full test sessions. This commit fixes by manually deleting a new subdirectory created in each test case. https://github.com/pytorch/audio/pull/2565#discussion_r929007101

Pull Request resolved: https://github.com/pytorch/audio/pull/2569

Reviewed By: nateanl

Differential Revision: D38117848

Pulled By: skim0514

fbshipit-source-id: 3767cb8df1238fd6218f6aaa58d5d583cea72699

Summary:
- Add documentation page for `SourceSeparationBundle` and `CONVTASNET_BASE_LIBRI2MIX`.
- Add citation of Libri2Mix dataset in the bundle documentation.
- url in integration test should use slash instead of `os.path.join` as it will fail on Windows. Change it to f-string.

Pull Request resolved: https://github.com/pytorch/audio/pull/2559

Reviewed By: carolineechen

Differential Revision: D38036116

Pulled By: nateanl

fbshipit-source-id: 736732805191113955badfec3955e2e24e8f4836

Summary:
- Add SourceSeparationBundle class for source separation pipeline
- Add `CONVTASNET_BASE_LIBRI2MIX` that is trained on Libri2Mix dataset.
- Add integration test with example mixture audio and expected scale-invariant signal-to-distortion ratio (Si-SDR) score. The test computes the Si-SDR score with permutation-invariant training (PIT) criterion for all permutations of sources and use the highest value as the final output. The test verifies if the score is equal to or larger than the expected value.

Pull Request resolved: https://github.com/pytorch/audio/pull/2440

Reviewed By: mthrok

Differential Revision: D37997646

Pulled By: nateanl

fbshipit-source-id: c951bcbbe8b7ed9553cb8793d6dc1ef90d5a29fe

Summary:
add function to download pretrained files for LibriSpeech 3-gram/4-gram KenLM, tests, and updated tutorial

Pull Request resolved: https://github.com/pytorch/audio/pull/2275

Reviewed By: mthrok

Differential Revision: D35115418

Pulled By: carolineechen

fbshipit-source-id: 83ff22380fce9c753bb4a7b7e3d89aa66c2831c0

Summary:
In recent updates, torchaudio added features that download assets/models from
download.pytorch.org/torchaudio.

To reduce the code duplication, the implementations uses utilities from
``torch.hub``, but still, there are patterns repeated in implementing
the fetch mechanism, notably cache and local file path handling.

This commit introduces the utility function that handles
download/cache/local path management that can be used for
fetching pre-trained model data.

Pull Request resolved: https://github.com/pytorch/audio/pull/2283

Reviewed By: carolineechen

Differential Revision: D35050469

Pulled By: mthrok

fbshipit-source-id: 219dd806f9a96c54d2d31e981c1bbe282772702b

Summary:
Pull Request resolved: https://github.com/pytorch/audio/pull/2096

run: `arc lint --apply-patches --paths-cmd 'hg files -I "./**/*.py"'`

Reviewed By: mthrok

Differential Revision: D33297351

fbshipit-source-id: 7bf5956edf0717c5ca90219f72414ff4eeaf5aa8

This commit changes all the `torch.hub` network utility functions to
be imported from `torchaudio._internal`, so that later we can replace
the function within fbcode.

* Add wav2vec2 ASR German pretrained model from voxpopuli

- Make the test support other languages
- Fetch tetst asset on-the-fly

* [BC-breaking] Remove unused dimension from pretrained Wav2Vec2 ASR

The Wav2Vec2 ASR pretrained weights originated from fairseq have
extra dimension that have nothing to do with the ASR task.

https://github.com/pytorch/fairseq/blob/c5ff181125c7e6126b49a85e5ebdd5f5b6a07914/fairseq/data/dictionary.py#L18-L37

which is masked during the loss computation as

https://github.com/pytorch/fairseq/blob/c5ff181125c7e6126b49a85e5ebdd5f5b6a07914/fairseq/criterions/ctc.py#L126-L128

This change removes it.

* Use '-' for blank token representation.