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  1. 11 Oct, 2022 1 commit
  3. 09 Oct, 2022 1 commit
  5. 22 Sep, 2022 1 commit
  7. 15 Sep, 2022 1 commit
  9. 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
  11. 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
  13. 20 Jun, 2022 1 commit
  15. 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
  17. 10 May, 2022 1 commit
  19. 26 Apr, 2022 1 commit
  21. 18 Apr, 2022 1 commit
  23. 23 Nov, 2021 1 commit
  25. 04 Nov, 2021 1 commit
  27. 06 Oct, 2021 1 commit
  29. 05 Oct, 2021 1 commit
  31. 02 Aug, 2021 1 commit
  33. 04 Dec, 2020 1 commit
  35. 02 Oct, 2020 1 commit
  37. 15 Sep, 2020 1 commit
  39. 20 Aug, 2020 1 commit
  41. 19 Aug, 2020 1 commit
  43. 20 Jul, 2020 1 commit
    • jimchen90's avatar
      Add LibriTTS dataset (#790) · 4b8aad7a
      jimchen90 authored 
      

* Add libritts

Add LibriTTS dataset draft

* Add libritts

Use two separate ids for utterance_id.

* Update output form

Use full_id as utterance_id.

* Update format

Add space and test black format

* Update test method

* Add audio and text test

Generate audio and test files on-the-fly in test 

* Update format

* Fix test error and remove assets libritts

The test error is fixed by sorting the file in 4th element instead of 2nd element in samples. Since the files are generated on-the-fly, so the the libritts files in assets are removed.

* Add seed in `get_whitenoise` function

* Change utterance to text

Change `_utterance` to `_text`.
Co-authored-by: default avatarJi Chen <jimchen90@devfair0160.h2.fair>
      4b8aad7a
  45. 10 Jun, 2020 1 commit
  47. 02 Jun, 2020 1 commit
    • Emmanouil Theofanis Chourdakis's avatar
      Added the popular GTZAN dataset: (#668) · b0367251
      Emmanouil Theofanis Chourdakis authored 
      

* Added the popular GTZAN dataset:

* Added the GTZAN class in torchaudio.datasets using the same format as the rest of the datasets.
* Added the appropriate test function in test_datasets.py.
* Added the GTZAN class in the datasets.rst documentation file.

* Addressed review issues in PR #668

* Added dummy noise .wav in `test/assets/`
* Removed transforms of input and output from the dataset
  `__init__` function, as well as the corresponding methods.
* Replaced rendundant `filtered` and `subset` methods from
  class initialization and also changed the corresponding
  assertion message.

* Fixed E303: too many blank lines error

* Added GTZAN to __init__.__all__

* Fixed incorrectly not importing GTZAN

* removed duplicate warning

* lint
Co-authored-by: default avatarVincent QB <vincentqb@users.noreply.github.com>
      b0367251
  49. 27 Apr, 2020 1 commit
  51. 18 Dec, 2017 1 commit