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Summary:
The PR adds three `Wav2Vec2Bundle ` pipeline objects for XLS-R models:
- WAV2VEC2_XLSR_300M
- WAV2VEC2_XLSR_1B
- WAV2VEC2_XLSR_2B

All three models use layer normalization in the feature extraction layers, hence `_normalize_waveform` is set to `True`.

Pull Request resolved: https://github.com/pytorch/audio/pull/2978

Reviewed By: hwangjeff

Differential Revision: D42501491

Pulled By: nateanl

fbshipit-source-id: 2429ec880cc14798034843381e458e1b4664dac3

Summary:
After https://github.com/pytorch/audio/issues/2873, the pre-trained Wav2Vec2 models with larger datasets can get better performances. The PR fixes the integration test of bundle `WAV2VEC2_ASR_LARGE_LV60K_10M` which predicts the word `CURIOUSITY` to `CURIOUSSITY` before but now to `CURIOUSITY` correctly.

Pull Request resolved: https://github.com/pytorch/audio/pull/2910

Reviewed By: mthrok

Differential Revision: D41881919

Pulled By: nateanl

fbshipit-source-id: 236fd00b983a5205c731f3efa31033a6b8257cab

Summary:
Closes T136364380, follow-up to https://github.com/pytorch/audio/issues/2822

- Added "base", "base+", and "large" bundles for WavLM
- Expanded `wav2vec2_pipeline_test.py` to include the new bundles
- Added the new bundles to docs in `pipelines.rst`

Pull Request resolved: https://github.com/pytorch/audio/pull/2833

Reviewed By: nateanl

Differential Revision: D41194796

Pulled By: sgrigory

fbshipit-source-id: bf8e96c05b6a81ac5c5a014c46adeeac12685328

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:
cc mthrok

Pull Request resolved: https://github.com/pytorch/audio/pull/2116

Reviewed By: mthrok

Differential Revision: D33368453

Pulled By: jdsgomes

fbshipit-source-id: 09cf3fe5ed6f771c2f16505633c0e59b0c27453c

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

* Add wav2vec2 ASR German pretrained model from voxpopuli

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

- Move wav2vec2 pretrained weights to `torchaudio.pipelines` namespace to align with #1872.
- Split `Wav2Vec2PretrainedModelBundle` into `Wav2Vec2Bundle` (for pre-training model) and  `Wav2Vec2ASRBundle` (for models fine-tuned for ASR).
- Update base URL

Add pretrained weights from https://github.com/pytorch/fairseq/tree/main/examples/wav2vec#pre-trained-models
- Wav2Vec 2.0 Base / Large / Large (LV-60)
- XLSR-53

This commit adds
- HUBERT_LARGE
- HUBERT_XLARGE
- HUBERT_ASR_XLARGE