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  1. 18 Jul, 2023 1 commit
  3. 15 Jul, 2023 1 commit
  5. 05 Jul, 2023 1 commit
  7. 28 Jun, 2023 1 commit
  9. 26 Jun, 2023 1 commit
  11. 21 Jun, 2023 1 commit
  13. 15 Jun, 2023 1 commit
    • moto's avatar
      Update forced alignment tutorial (#3440) · 18601691
      moto authored 
      Summary:
* Fix backtrack visualization (the cooridnate was off-by-one.)
* Add note about the simplification and the new align API
* Explicitly handle SOS and EOS

Pull Request resolved: https://github.com/pytorch/audio/pull/3440

Reviewed By: xiaohui-zhang

Differential Revision: D46761282

Pulled By: mthrok

fbshipit-source-id: b0b6c9754674e8e23543e9f002e29b55102c92f8
      18601691
  15. 07 Jun, 2023 1 commit
  17. 02 Jun, 2023 2 commits
    • moto's avatar
      [BC-Breaking] Remove compute_kaldi_pitch (#3368) · 5bbbb1d5
      moto authored 
      Summary:
This commit removes compute_kaldi_pitch function and the underlying Kaldi integration from torchaudio.

Kaldi pitch function was added in a short period of time by integrating the original Kaldi implementation, instead of reimplementing it in PyTorch.

The Kaldi integration employed a hack which replaces the base vector/matrix implementation of Kaldi with PyTorch Tensor so that there is only one blas library within torchaudio.

Recently, we are making torchaudio more lean, and we don't see a wide adoption of kaldi_pitch feature, so we decided to remove them.

See some of the discussion https://github.com/pytorch/audio/issues/1269

Pull Request resolved: https://github.com/pytorch/audio/pull/3368

Differential Revision: D46406176

Pulled By: mthrok

fbshipit-source-id: ee5e24d825188f379979ddccd680c7323b119b1e
      5bbbb1d5
    • moto's avatar
      Update data augmentation tutorial (#3375) · 2ba36b47
      moto authored 
      Summary:
Replace sox_effects with `torchaudio.io.AudioEffector`

1. To show case the new and better feature
2. To prepare for the upcoming removal of file-like support object

Pull Request resolved: https://github.com/pytorch/audio/pull/3375

Reviewed By: nateanl

Differential Revision: D46379016

Pulled By: mthrok

fbshipit-source-id: 70f24b62494204949f327f6ac6c49f315c9ee315
      2ba36b47
  19. 31 May, 2023 1 commit
  21. 26 May, 2023 2 commits
    • atalman's avatar
      Revert "Upgrade to FFmpeg5 (#3298)" (#3377) · 37779ef9
      atalman authored 
      Summary:
This reverts commit d38a7854.

This is temporary revert to unblock unit test migration from circleci to github

Pull Request resolved: https://github.com/pytorch/audio/pull/3377

Reviewed By: mthrok

Differential Revision: D46230498

Pulled By: atalman

fbshipit-source-id: 000d8a9ca00750fc1ca61f4c2cdd6e930a5ce46d
      37779ef9
    • Lakshmi Krishnan's avatar
      Improve RNN-T streaming decoding (#3295) · 9fc0dcaa
      Lakshmi Krishnan authored 
      Summary:
This commit fixes the following issues affecting streaming decoding quality
1. The `init_b` hypothesis is only regenerated from blank token if no initial hypotheses are provided.
2. Allows the decoder to receive top-K hypothesis to continue decoding from, instead of using just the top hypothesis at each decoding step.  This dramatically affects decoding quality especially for speech with long pauses and disfluencies.
3. Some minor errors regarding shape checking for length.

This also means that the resulting output is the entire transcript up until that time step, instead of just the incremental change in transcript.

Pull Request resolved: https://github.com/pytorch/audio/pull/3295

Reviewed By: nateanl

Differential Revision: D46216113

Pulled By: hwangjeff

fbshipit-source-id: 8f7efae28dcca4a052f434ca55a2795c9e5ec0b0
      9fc0dcaa
  23. 23 May, 2023 1 commit
  25. 21 May, 2023 2 commits
  27. 16 May, 2023 1 commit
  29. 10 May, 2023 2 commits
  31. 05 May, 2023 1 commit
    • Zhaoheng Ni's avatar
      Update squim tutorial (#3313) · 05ef7dc6
      Zhaoheng Ni authored 
      Summary:
Add scatter plots for STOI, PESQ, Si-SDR, and MOS scores to demonstrate the performance of `SquimObjective` and `SquimSubjective` models and how close they are to the ground truths.

Pull Request resolved: https://github.com/pytorch/audio/pull/3313

Reviewed By: hwangjeff

Differential Revision: D45620311

Pulled By: nateanl

fbshipit-source-id: cb58ffd3744df4749b9385876da8de0cffd93557
      05ef7dc6
  33. 29 Apr, 2023 1 commit
  35. 31 Mar, 2023 1 commit
  37. 29 Mar, 2023 1 commit
    • moto's avatar
      Remove the note about AAC (#3214) · c07a96ab
      moto authored 
      Summary:
There is a part of StreamWriter tutorial that warns about corrupted AAC audio output, but this is no longer relevant thus this commit deletes it.

Pull Request resolved: https://github.com/pytorch/audio/pull/3214

Reviewed By: nateanl

Differential Revision: D44504030

Pulled By: mthrok

fbshipit-source-id: 4d26d582e9fb87d4e6fa674c05fe3192bc223eef
      c07a96ab
  39. 28 Mar, 2023 1 commit
  41. 16 Mar, 2023 1 commit
  43. 02 Mar, 2023 1 commit
  45. 15 Feb, 2023 1 commit
  47. 30 Jan, 2023 1 commit
    • Yan Li's avatar
      Fix hybrid demucs tutorial for CUDA (#3017) · da9d1627
      Yan Li authored 
      Summary:
Currently there will be a few errors when this tutorial is run with a CUDA device.

The reasons being:
- The source audio waveform is not properly moved to the GPU. The `to()` method is not in-place for Tensors, so we need to assign the return value of the method call to the variable (otherwise the Tensor would still be on the CPU).
- When performing further analysis and displaying of the output audio, we need to move them back from the GPU to the CPU. This is because some of the functions we call require the Tensor to be on the CPU (e.g. `stft()` and `bss_eval_sources()`).

Pull Request resolved: https://github.com/pytorch/audio/pull/3017

Reviewed By: mthrok

Differential Revision: D42828526

Pulled By: nateanl

fbshipit-source-id: c28bc855e79e3363a011f4a35a69aae1764e7762
      da9d1627
  49. 17 Jan, 2023 1 commit
  51. 13 Jan, 2023 1 commit
  53. 30 Dec, 2022 1 commit
  55. 17 Dec, 2022 1 commit
  57. 16 Dec, 2022 1 commit
    • Caroline Chen's avatar
      Rename resampling_method options (#2922) · e6bebe6a
      Caroline Chen authored 
      Summary:
resolves https://github.com/pytorch/audio/issues/2891

Rename `resampling_method` options to more accurately describe what is happening. Previously the methods were set to `sinc_interpolation` and `kaiser_window`, which can be confusing as both options actually use sinc interpolation methodology, but differ in the window function used. As a result, rename `sinc_interpolation` to `sinc_interp_hann` and `kaiser_window` to `sinc_interp_kaiser`. Using an old option will throw a warning, and those options will be deprecated in 2 released. The numerical behavior is unchanged.

Pull Request resolved: https://github.com/pytorch/audio/pull/2922

Reviewed By: mthrok

Differential Revision: D42083619

Pulled By: carolineechen

fbshipit-source-id: 9a9a7ea2d2daeadc02d53dddfd26afe249459e70
      e6bebe6a
  59. 29 Nov, 2022 1 commit
  61. 28 Nov, 2022 1 commit
  63. 17 Oct, 2022 1 commit
  65. 14 Oct, 2022 2 commits
  67. 13 Oct, 2022 2 commits