- 02 Sep, 2024 1 commit
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mayp777 authored
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- 11 Oct, 2022 1 commit
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Caroline Chen authored
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- 09 Sep, 2022 1 commit
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hwangjeff authored
Summary: `ConformerRNNTModule`'s initializer now accepts a SentencePiece model rather than a path to a model as input. This PR corrects `eval.py` accordingly. Pull Request resolved: https://github.com/pytorch/audio/pull/2666 Reviewed By: carolineechen Differential Revision: D39386968 Pulled By: hwangjeff fbshipit-source-id: 95a94dd898263d648650f7376c29810b1456d6c1
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- 11 Jul, 2022 1 commit
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Jeff Hwang authored
Summary: Pull Request resolved: https://github.com/pytorch/audio/pull/2535 Modifies LibriSpeech Conformer RNN-T example recipe to make the Lightning module and datamodule more generic and reusable. Reviewed By: mthrok Differential Revision: D36731576 fbshipit-source-id: 4643e86fac78f3c2bacc15f5d385bc7b10f410a2
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- 11 May, 2022 1 commit
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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
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- 13 Apr, 2022 1 commit
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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
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