1. 10 Aug, 2023 1 commit
  2. 08 Aug, 2023 4 commits
  3. 04 Aug, 2023 1 commit
  4. 01 Aug, 2023 1 commit
  5. 31 Jul, 2023 2 commits
  6. 29 Jul, 2023 1 commit
    • moto's avatar
      Refactor compat (#3518) · 8497ee91
      moto authored
      Summary:
      The I/O functions in _compat module was introduced there so that
      everything related to FFmpeg is in torchaudio.io and FFmpeg library
      initialization can be carried out in `torchaudio.io.__init__`.
      
      Now that this constraint is removed, (all the initialization happens
      at `torchaudio._extension.__init__`) and `_compat` is only used by
      FFmpeg dispatcher backend, we move the module to `torchaudio._backend`
      for better locality.
      
      Pull Request resolved: https://github.com/pytorch/audio/pull/3518
      
      Reviewed By: huangruizhe
      
      Differential Revision: D47877412
      
      Pulled By: mthrok
      
      fbshipit-source-id: aa18c8cb6e5d5360950df5158c33c653e37c565f
      8497ee91
  7. 28 Jul, 2023 2 commits
  8. 26 Jul, 2023 1 commit
  9. 25 Jul, 2023 2 commits
    • Pingchuan Ma's avatar
      Update avsr recipe (#3493) · d4644793
      Pingchuan Ma authored
      Summary:
      This PR is to include few changes in the AV-ASR recipe. The changes include better results, a faster face detector (Mediapipe), renamed variable names, a streamlined dataloader, and a few illustrated examples. These changes were made to improve the usability of the recipe.
      
      Pull Request resolved: https://github.com/pytorch/audio/pull/3493
      
      Reviewed By: mthrok
      
      Differential Revision: D47758072
      
      Pulled By: mpc001
      
      fbshipit-source-id: 4533587776f3a7a74f3f11b0ece773a0934bacdc
      d4644793
    • moto's avatar
      Update nvdec/nvenc tutorials (#3483) · 56e22664
      moto authored
      Summary: Pull Request resolved: https://github.com/pytorch/audio/pull/3483
      
      Differential Revision: D47725664
      
      Pulled By: mthrok
      
      fbshipit-source-id: e4249e1488fa7af8670be4a5077957912ff3420b
      56e22664
  10. 24 Jul, 2023 1 commit
  11. 18 Jul, 2023 1 commit
  12. 15 Jul, 2023 1 commit
  13. 05 Jul, 2023 1 commit
  14. 28 Jun, 2023 1 commit
  15. 26 Jun, 2023 1 commit
  16. 21 Jun, 2023 1 commit
  17. 16 Jun, 2023 1 commit
    • Pingchuan Ma's avatar
      Add LRS3 data preparation (#3421) · 77cdd160
      Pingchuan Ma authored
      Summary:
      This PR adds a data preparation recipe that uses the ultra face detector to extract full-face video. The resulting video output is then used as input for training and evaluating RNNT-based models for automatic speech recognition (ASR), visual speech recognition (VSR), and audio-visual ASR (AV-ASR) on the LRS3 dataset.
      
      This PR also updates the word error rate (WER) for AV-ASR LRS3 models and improves the code readability.
      
      Pull Request resolved: https://github.com/pytorch/audio/pull/3421
      
      Reviewed By: mpc001
      
      Differential Revision: D46799748
      
      Pulled By: mthrok
      
      fbshipit-source-id: 97af3feac0592b240617faaffa4c0ac8cef614a9
      77cdd160
  18. 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
  19. 07 Jun, 2023 1 commit
  20. 06 Jun, 2023 1 commit
  21. 04 Jun, 2023 1 commit
  22. 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
  23. 31 May, 2023 1 commit
  24. 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
  25. 25 May, 2023 1 commit
    • Pingchuan Ma's avatar
      Add LRS3 AV-ASR recipe (#3278) · c6624fa6
      Pingchuan Ma authored
      Summary:
      This PR adds AV-ASR recipe which contains sample implementations of training and evaluation pipelines for RNNT based automatic, visual, and audio-visual (ASR, VSR, AV-ASR) models on LRS3. This repository includes both streaming/non-streaming modes.
      
      CC stavros99 xiaohui-zhang YumengTao mthrok nateanl hwangjeff
      
      Pull Request resolved: https://github.com/pytorch/audio/pull/3278
      
      Reviewed By: nateanl
      
      Differential Revision: D46121550
      
      Pulled By: mpc001
      
      fbshipit-source-id: bb44b97ae25e87df2a73a707008be46af4ad0fc6
      c6624fa6
  26. 23 May, 2023 1 commit
  27. 21 May, 2023 2 commits
  28. 16 May, 2023 1 commit
  29. 10 May, 2023 2 commits
  30. 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