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Summary:
This commit updates the way libsox is integrated to torchaudio

1. We stop statically linking libsox, so torchaudio will not ship libsox.
2. We link libsox dynamically. Users are expected to install libsox by themselves.
3. We use stab library to build torchaudio.

Pull Request resolved: https://github.com/pytorch/audio/pull/3497

Differential Revision: D47803706

Pulled By: mthrok

fbshipit-source-id: 31b05495d81069186fa52d67beea360cc7e817a8

Summary:
Follow up of: https://github.com/pytorch/audio/pull/3368

Remove files and lines no longer used.

Pull Request resolved: https://github.com/pytorch/audio/pull/3403

Differential Revision: D46441462

Pulled By: mthrok

fbshipit-source-id: 11b881ec4b24fa0d625c6aee9f4bd91f637f9923

Summary:
TorchAudio has migrated CTC decoder to flashlight-text, and code related CTC decoder was removed in https://github.com/pytorch/audio/issues/3236.

This commit cleans up the residual, removes the third party libraries used for CTC decoder, and mention to environment variable for CTC decoder.

Pull Request resolved: https://github.com/pytorch/audio/pull/3339

Reviewed By: nateanl

Differential Revision: D45920878

Pulled By: mthrok

fbshipit-source-id: 8d93e64138697781570e5b0b1c9f86e1a7923a89

Summary:
This PR implements a CUDA based ctc prefix beam search decoder.

Attach serveral benchmark results using V100 below:
|decoder type| model |datasets       | decoding time (secs)| beam size | batch size | model unit | subsampling times | vocab size |
|--------------|---------|------|-----------------|------------|-------------|------------|-----------------------|------------|
| cuctc |  conformer nemo    |dev clean        |7.68s | 8           |  32       | bpe         |    4  | 1000|
| cuctc |  conformer nemo   |dev clean  (sort by length)      |1.6s | 8           |  32       | bpe         |    4  | 1000|
| cuctc |  wav2vec2.0 torchaudio |dev clean                                |22s | 10           |  1       | char         |    2  | 29|
| cuctc |   conformer espnet   |aishell1 test                             | 5s | 10           |  24       | char         |    4  | 4233|

Note:
1.  The design is to parallel computation through batch and vocab axis, for loop the frames axis. So it's more friendly with smaller sequence lengths, larger vocab size comparing with CPU implementations.
2. WER is the same as CPU implementations. However, it can't decode with LM now.

Resolves: https://github.com/pytorch/audio/issues/2957.

Pull Request resolved: https://github.com/pytorch/audio/pull/3096

Reviewed By: nateanl

Differential Revision: D44709397

Pulled By: mthrok

fbshipit-source-id: 3078c54a2b44dc00eb4a81b4c657487eeff8c155

Summary:
Fixed minor typo in `Contributing.md`: "diemension" -> "dimension"

Pull Request resolved: https://github.com/pytorch/audio/pull/2596

Reviewed By: mthrok

Differential Revision: D38315517

Pulled By: carolineechen

fbshipit-source-id: 5e771f22a5be008d3be30b4699fb5cc5637c627d

Summary:
This PR adds the prototype streaming API.
The implementation is based on ffmpeg libraries.

For the detailed usage, please refer to [the resulting tutorial](https://534376-90321822-gh.circle-artifacts.com/0/docs/tutorials/streaming_api_tutorial.html).

Pull Request resolved: https://github.com/pytorch/audio/pull/2164

Reviewed By: hwangjeff

Differential Revision: D33934457

Pulled By: mthrok

fbshipit-source-id: 92ade4aff2d25baf02c0054682d4fbdc9ba8f3fe

Summary:
With the introduction of tutorials, the turn around time for doc build
has become longer. By default, the tutorial is not built but SPHINXOPT=-W
treats it as error.

This commit disable the option for the local build while keeping it
for the CI.

Pull Request resolved: https://github.com/pytorch/audio/pull/2013

Reviewed By: carolineechen

Differential Revision: D32538952

Pulled By: mthrok

fbshipit-source-id: eae4ffd87100dff466f91abfe26a82aa702d605a

With the introduction of TTS tutorial (#1973), it takes more than couple of minutes
to build documentation. This commit makes the doc build process defaults to
not build tutorials.

To build tutorials one can use environment variable `BUILD_GALLERY=1`,
and set `GALLERY_PATTERN=...` to filter the tutorials to build.

This `GALLERY_PATTERN` is same approach as in `tutorials` repo.

https://github.com/pytorch/tutorials/blob/cbf2238df0e78d84c15bd94288966d2f4b2e83ae/conf.py#L75-L83

Also this commit dynamically parse the subdirectory of `examples/gallery` so that when a new category of examples are added, it will automatically parsed.

After #1966, `git submodule` is performed automatically.

It seems that this is no longer necessary for recent macOS .

* Default to BUILD_SOX=1 in non-Windows systems

Since the adaptation of CMake and restricting to the static linking of libsox,
the build process has become much robust with libsox integration enabled.

This commit makes it default behavior to build libsox integration in non-Windows systems.
The build process still checks BUILD_SOX env var so, setting `BUILD_SOX=0` disables it.

Co-authored-by: moto <855818+mthrok@users.noreply.github.com>

* OSS Automated Fix: Addition of Contributing