1. 02 Sep, 2024 1 commit
  2. 11 Oct, 2022 1 commit
  3. 09 Sep, 2022 1 commit
  4. 11 Jul, 2022 1 commit
  5. 11 May, 2022 1 commit
    • hwangjeff's avatar
      Refactor LibriSpeech Conformer RNN-T recipe (#2366) · 69467ea5
      hwangjeff authored
      Summary:
      Modifies the example LibriSpeech Conformer RNN-T recipe as follows:
      - Moves data loading and transforms logic from lightning module to data module (improves generalizability and reusability of lightning module and data module).
      - Moves transforms logic from dataloader collator function to dataset (resolves dataloader multiprocessing issues on certain platforms).
      - Replaces lambda functions with `partial` equivalents (resolves pickling issues in certain runtime environments).
      - Modifies training script to allow for specifying path model checkpoint to restart training from.
      
      Pull Request resolved: https://github.com/pytorch/audio/pull/2366
      
      Reviewed By: mthrok
      
      Differential Revision: D36305028
      
      Pulled By: hwangjeff
      
      fbshipit-source-id: 0b768da5d5909136c55418bf0a3c2ddd0c5683ba
      69467ea5
  6. 13 Apr, 2022 1 commit
    • hwangjeff's avatar
      Add Conformer RNN-T LibriSpeech training recipe (#2329) · c262758b
      hwangjeff authored
      Summary:
      Adds Conformer RNN-T LibriSpeech training recipe to examples directory.
      
      Produces 30M-parameter model that achieves the following WER:
      
      |                     |          WER |
      |:-------------------:|-------------:|
      | test-clean          |       0.0310 |
      | test-other          |       0.0805 |
      | dev-clean           |       0.0314 |
      | dev-other           |       0.0827 |
      
      Pull Request resolved: https://github.com/pytorch/audio/pull/2329
      
      Reviewed By: xiaohui-zhang
      
      Differential Revision: D35578727
      
      Pulled By: hwangjeff
      
      fbshipit-source-id: afa9146c5b647727b8605d104d928110a1d3976d
      c262758b