build(deps): bump torchaudio from 0.10.2 to 2.2.0 in /requirements

[dependabot]

Bumps torchaudio from 0.10.2 to 2.2.0.

Release notes

Sourced from torchaudio's releases.

TorchAudio 2.2.0 Release

New Features

• Add path-like object support to StreamReader/Writer pytorch/audio#3608
• Introduce trio top-level module, dedicated for core I/O operations (pytorch/audio#3676, pytorch/audio#3680, pytorch/audio#3681, pytorch/audio#3682) Please refer to https://pytorch.org/audio/2.2.0/torio.html for the details.

Bug Fixes

• pytorch/audio#3685 Make F.vad return empty tensor for zero valued tensor input

Recipe Updates

• pytorch/audio#3631 Fix inconsistent naming

TorchAudio 2.1.2 Release

This is a patch release, which is compatible with PyTorch 2.1.2. There are no new features added.

v2.1.1

This is a minor release, which is compatible with PyTorch 2.1.1 and includes bug fixes, improvements and documentation updates.

Bug Fixes

• Cherry-pick 2.1.1: Fix WavLM bundles (#3665)
• Cherry-pick 2.1.1: Add back compression level in i/o dispatcher backend by (#3666)

Torchaudio 2.1 Release Note

Hilights

TorchAudio v2.1 introduces the new features and backward-incompatible changes;

1. [BETA] A new API to apply filter, effects and codec
   torchaudio.io.AudioEffector can apply filters, effects and encodings to waveforms in online/offline fashion.
   You can use it as a form of augmentation.
   Please refer to https://pytorch.org/audio/2.1/tutorials/effector_tutorial.html for the examples.
2. [BETA] Tools for forced alignment
   New functions and a pre-trained model for forced alignment were added.
   torchaudio.functional.forced_align computes alignment from an emission and torchaudio.pipelines.MMS_FA provides access to the model trained for multilingual forced alignment in MMS: Scaling Speech Technology to 1000+ languages project.
   Please refer to https://pytorch.org/audio/2.1/tutorials/ctc_forced_alignment_api_tutorial.html for the usage of forced_align function, and https://pytorch.org/audio/2.1/tutorials/forced_alignment_for_multilingual_data_tutorial.html for how one can use MMS_FA to align transcript in multiple languages.
3. [BETA] TorchAudio-Squim : Models for reference-free speech assessment
   Model architectures and pre-trained models from the paper TorchAudio-Squim: Reference-less Speech Quality and Intelligibility measures in TorchAudio were added. You can use torchaudio.pipelines.SQUIM_SUBJECTIVE and torchaudio.pipelines.SQUIM_OBJECTIVE models to estimate the various speech quality and intelligibility metrics. This is helpful when evaluating the quality of speech generation models, such as TTS.
   Please refer to https://pytorch.org/audio/2.1/tutorials/squim_tutorial.html for the detail.
4. [BETA] CUDA-based CTC decoder
   torchaudio.models.decoder.CUCTCDecoder takes emission stored in CUDA memory and performs CTC beam search on it in CUDA device. The beam search is fast. It eliminates the need to move data from CUDA device to CPU when performing automatic speech recognition. With PyTorch's CUDA support, it is now possible to perform the entire speech recognition pipeline in CUDA.
   Please refer to https://pytorch.org/audio/2.1/tutorials/asr_inference_with_cuda_ctc_decoder_tutorial.html for the detail.
5. [Prototype] Utilities for AI music generation
   We are working to add utilities that are relevant to music AI. Since the last release, the following APIs were added to the prototype.
   Please refer to respective documentation for the usage.
   • torchaudio.prototype.chroma_filterbank
   • torchaudio.prototype.transforms.ChromaScale
   • torchaudio.prototype.transforms.ChromaSpectrogram
   • torchaudio.prototype.pipelines.VGGISH
6. New recipes for training models.

... (truncated)

Commits

• 08901ad Use oidc for wheel workflows, remove aws credentials (#3728)
• 8c1ddfc Use oidc for wheel workflows, remove aws credentials (#3727)
• ff9b404 Fix doc
• c58453b Fix doc
• ea51350 Update latest release version in doc
• 56403a5 Update doc
• 87d8801 [RELEASE-ONLY CHANGES] Don't use nightly in release branch
• 66437b4 [RELEASE-ONLY CHANGES] Branch Cut for Release 2.2.0
• 6518fa9 Update GH issue template (#3710)
• ccd78ff Warn if the input dtype to TimeStretch is not complex (#3695)
• Additional commits viewable in compare view

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[dependabot]

Dependabot tried to add @aniketmaurya/engs as a reviewer to this PR, but received the following error from GitHub:

POST https://api.github.com/repos/aniketmaurya/lightning-flash/pulls/54/requested_reviewers: 422 - Reviews may only be requested from collaborators. One or more of the teams you specified is not a collaborator of the aniketmaurya/lightning-flash repository. // See: https://docs.github.com/rest/pulls/review-requests#request-reviewers-for-a-pull-request

[codecov]

Codecov Report

Merging #54 (6c7c041) into master (5b4003b) will decrease coverage by 31%.
The diff coverage is n/a.

Additional details and impacted files

@@           Coverage Diff            @@
##           master     #54     +/-   ##
========================================
- Coverage      85%     55%    -31%     
========================================
  Files         291     291             
  Lines       12856   12856             
========================================
- Hits        10983    7007   -3976     
- Misses       1873    5849   +3976     

[dependabot]

Superseded by #64.