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  1. 19 Oct, 2022 1 commit
  3. 11 Oct, 2022 1 commit
  5. 10 Oct, 2022 1 commit
    • Zhaoheng Ni's avatar
      Add unit test for LibriMix dataset (#2659) · c5b8e585
      Zhaoheng Ni authored 
      Summary:
Besides the unit test, the PR also addresses these issues:
- The original `LibriMix` dataset only supports "min" mode, which means the audio length is the minimum of all clean sources. It is default for source separation task. Users may also want to use "max" mode which allows for end-to-end separation and recognition. The PR adds ``mode`` argument to let users decide which dataset they want to use.
- If the task is ``"enh_both"``, the target is the audios in ``mix_clean`` instead of separate clean sources. The PR fixes it to use ``mix_clean`` as target.

Pull Request resolved: https://github.com/pytorch/audio/pull/2659

Reviewed By: carolineechen

Differential Revision: D40229227

Pulled By: nateanl

fbshipit-source-id: fc07e0d88a245e1367656d3767cf98168a799235
      c5b8e585
  7. 09 Oct, 2022 1 commit
  9. 06 Jul, 2022 1 commit
    • Caroline Chen's avatar
      Fix fluent test for windows (#2510) · 09daa438
      Caroline Chen authored 
      Summary:
fluent dataset test currently fails on windows, due to new line generation in csv writer in testing and incorrect path parsing in dataset impl.

Pull Request resolved: https://github.com/pytorch/audio/pull/2510

Reviewed By: carolineechen

Differential Revision: D37573203

Pulled By: mthrok

fbshipit-source-id: 4868bc649690c7e596b002686c6128ce735d3564
      09daa438
  11. 27 Jun, 2022 1 commit
    • Zhaoheng Ni's avatar
      Add VoxCeleb1 dataset (#2349) · 21b2d139
      Zhaoheng Ni authored 
      Summary:
This PR adds two dataset classes of VoxCeleb1 corpus.
- `VoxCeleb1Identification`
Each data sample contains the waveform, sample rate, speaker id, and the file id.
- `VoxCeleb1Verification`
Each data sample contains a pair of waveforms, sample rate, the label indicating if they are from the same speaker, and the file ids.

Pull Request resolved: https://github.com/pytorch/audio/pull/2349

Reviewed By: carolineechen

Differential Revision: D35927921

Pulled By: nateanl

fbshipit-source-id: 3e07ddd329178777698841565053eb59befe6449
      21b2d139
  13. 23 Jun, 2022 1 commit
  15. 21 Jun, 2022 1 commit
    • Sean Kim's avatar
      Create musdb handler and tests (#2484) · b92a8a09
      Sean Kim authored 
      Summary:
Create dataset handler and tests for new dataset. Manually tested and unit tested to test validity. Pre-commit ran for style checks.

Pull Request resolved: https://github.com/pytorch/audio/pull/2484

Reviewed By: carolineechen, nateanl

Differential Revision: D37250556

Pulled By: skim0514

fbshipit-source-id: d2c8d73d22fd9d7282026265676f3eab1e178d51
      b92a8a09
  17. 20 Jun, 2022 1 commit
  19. 02 Jun, 2022 1 commit
  21. 23 May, 2022 1 commit
    • Zhaoheng Ni's avatar
      Add LibriLightLimited dataset (#2302) · af9cab3b
      Zhaoheng Ni authored 
      Summary:
The `LibriLightLimited` dataset is created for fine-tuning SSL models, such as Wav2Vec2 and HuBERT. It is a supervised subset of [Libri-Light](https://github.com/facebookresearch/libri-light) dataset. To distinguish the unsupervised subset and the supervised one, it's clearer to put it in a separate dataset class for fine-tuning purpose.
It contains "10 min", "1 hour", "10 hour" splits.

Pull Request resolved: https://github.com/pytorch/audio/pull/2302

Reviewed By: mthrok

Differential Revision: D36388188

Pulled By: nateanl

fbshipit-source-id: ba49f1c9996be17db5db41127d8ca96224c94249
      af9cab3b
  23. 20 May, 2022 1 commit
  25. 15 May, 2022 1 commit
    • John Reese's avatar
      [codemod][usort] apply import merging for fbcode (8 of 11) · d62875cc
      John Reese authored 
      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
      d62875cc
  27. 18 Apr, 2022 1 commit
  29. 30 Dec, 2021 1 commit
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  33. 08 Oct, 2021 1 commit
  35. 06 Oct, 2021 2 commits
  37. 05 Oct, 2021 1 commit
  39. 02 Aug, 2021 1 commit
  41. 02 Mar, 2021 1 commit
  43. 24 Feb, 2021 1 commit
  45. 08 Feb, 2021 1 commit
  47. 05 Jan, 2021 6 commits
  49. 30 Dec, 2020 4 commits
  51. 27 Dec, 2020 1 commit
  53. 21 Dec, 2020 1 commit
    • Aziz's avatar
      Remove walk_files (#1111) · 8187dc0a
      Aziz authored 
      The use of `walk_files` made it ambiguous who is responsible to locate 
the correct set of files. (Dataset class? or utility?)
In fact, just glob-ing everything is not the right problem being solved in implementing
Dataset, because if you have a specific dataset you consider to access, then
the directory structure and file locations are determined. No need to do arbitral number of recursions.
Each Dataset implementation should be glob-ing the right set of files it requires.
      8187dc0a
  55. 18 Dec, 2020 1 commit
  57. 11 Dec, 2020 1 commit
  59. 03 Dec, 2020 1 commit
  61. 18 Nov, 2020 1 commit