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Librispeech ctc recipe #3541

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huangruizhe
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Added a Librispeech ctc recipe for demonstration purpose.

  • This recipe demonstrates using either torch.nn.CTCLoss or k2.ctc_loss. Both can converge to similar results.
  • It supports using either CTC or HMM topology with k2.ctc_loss.
  • It currently uses a greedy decoder for decoding.

WER results will be posted later.

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pytorch-bot bot commented Aug 8, 2023

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/audio/3541

Note: Links to docs will display an error until the docs builds have been completed.

❌ 11 New Failures

As of commit 54fdc28:

NEW FAILURES - The following jobs have failed:

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@huangruizhe has imported this pull request. If you are a Meta employee, you can view this diff on Phabricator.

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@huangruizhe has imported this pull request. If you are a Meta employee, you can view this diff on Phabricator.

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@huangruizhe has imported this pull request. If you are a Meta employee, you can view this diff on Phabricator.

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