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Summary:
In librosa 0.10 release, positional arguments are deprecated (see https://github.com/librosa/librosa/pull/1521 for details). The PR fixes the HiFiGAN unit test by using keyword arguments for `librosa.filters.mel` function.

Pull Request resolved: https://github.com/pytorch/audio/pull/3185

Reviewed By: mthrok

Differential Revision: D44218852

Pulled By: nateanl

fbshipit-source-id: 6171f7bec6a2144917697c1d640e701d95ec60d7

Summary:
This commit fixes the issue with the recent Sphinx-Gallery update.
Also it pins the versions of Sphinx-related packages.

Before:

<img width="256" alt="Screen Shot 2022-08-17 at 10 02 23 PM" src="https://user-images.githubusercontent.com/855818/185140952-28f2d98a-b586-424c-a003-b69089f48eb9.png">

After:

https://user-images.githubusercontent.com/855818/185271889-bd4f86a0-986b-43bb-8121-bd77750d74f0.mov

Pull Request resolved: https://github.com/pytorch/audio/pull/2629

Reviewed By: carolineechen

Differential Revision: D38816417

Pulled By: mthrok

fbshipit-source-id: 11ee3f9121d9a302772ee1f461dacae52eb28852

Summary:
- The "speech + noise" mixture still has a high SNR, which can't show the effectiveness of MVDR beamforming. To make the task more challenging, amplify the noise waveform to reduce the SNR of mixture speech.
- Show the Si-SNR score of mixture speech when visualizing the mixture spectrogram.
- FIx the figure in `rtf_power` subsection.
    - The description of enhanced spectrogram by `rtf_power` is wrong. Correct it to `rtf_power`.
- Print PESQ, STOI, and SDR metric scores.

Pull Request resolved: https://github.com/pytorch/audio/pull/2527

Reviewed By: mthrok

Differential Revision: D38190218

Pulled By: nateanl

fbshipit-source-id: 39562850a67f58a16e0a2866ed95f78c3f4dc7de

Summary:
Add tutorial python file, draft PR, will continue to modify accordingly to feedback.

Future plan: modify spectrogram and bottom audio design and work on finding best audio track and segments

Pull Request resolved: https://github.com/pytorch/audio/pull/2572

Reviewed By: carolineechen, nateanl, mthrok

Differential Revision: D38234001

Pulled By: skim0514

fbshipit-source-id: fe9207864f354dec5cf5ff52bf7d9ddcf4a001d5

Summary: Pull Request resolved: https://github.com/pytorch/audio/pull/2313

Reviewed By: carolineechen, nateanl

Differential Revision: D37799552

Pulled By: mthrok

fbshipit-source-id: 12e27fccb7098f3142e9ca0b748c71325cd324ee

Summary:
This commit adds tutorial to enable/use NVDEC with Stream API.

https://output.circle-artifacts.com/output/job/19e66a4b-1819-4804-8834-d38e6c80c4fd/artifacts/0/docs/hw_acceleration_tutorial.html

Because the use of NVDEC requires build / install FFmpeg from source,
this tutorial was authored on Google Colab, tailored to its environment.

The tutorial here is the result of the notebook execution, with
the link to the publicly accessible Google Colab notebook.

Pull Request resolved: https://github.com/pytorch/audio/pull/2393

Reviewed By: hwangjeff

Differential Revision: D36404408

Pulled By: mthrok

fbshipit-source-id: 9c820d3db4d06c5b343ecad0708489125ca06948

Summary:
* tutorial for streaming API https://541810-90321822-gh.circle-artifacts.com/0/docs/tutorials/streaming_api_tutorial.html
* tutorial for online speech recognition with Emformer RNN-T https://541810-90321822-gh.circle-artifacts.com/0/docs/tutorials/online_asr_tutorial.html

Pull Request resolved: https://github.com/pytorch/audio/pull/2193

Reviewed By: hwangjeff

Differential Revision: D33971312

Pulled By: mthrok

fbshipit-source-id: f9b69114255f15eaf4463ca85b3efb0ba321a95f

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.