Fangjun Kuang
fbfc98f1d3
Add streaming Emformer stateless RNN-T. ( #390 )
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* Add streaming Emformer stateless RNN-T.
* Update results for streaming Emformer.
* Minor fixes.
2022-06-01 14:31:47 +08:00
Fangjun Kuang
f6ce135608
Various fixes to support torch script. ( #371 )
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* Various fixes to support torch script.
* Add tests to ensure that the model is torch scriptable.
* Update tests.
2022-05-16 21:46:59 +08:00
Fangjun Kuang
f23dd43719
Update results for libri+giga multi dataset setup. ( #363 )
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* Update results for libri+giga multi dataset setup.
2022-05-14 21:45:39 +08:00
Fangjun Kuang
aeb8986e35
Ignore padding frames during RNN-T decoding. ( #358 )
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* Ignore padding frames during RNN-T decoding.
* Fix outdated decoding code.
* Minor fixes.
2022-05-13 07:39:14 +08:00
Fangjun Kuang
bc284e88e6
Run decode.py in GitHub actions. ( #356 )
2022-05-10 14:51:34 +08:00
Fangjun Kuang
ac84220de9
Modified conformer with multi datasets ( #312 )
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* Copy files for editing.
* Use librispeech + gigaspeech with modified conformer.
* Support specifying number of workers for on-the-fly feature extraction.
* Feature extraction code for GigaSpeech.
* Combine XL splits lazily during training.
* Fix warnings in decoding.
* Add decoding code for GigaSpeech.
* Fix decoding the gigaspeech dataset.
We have to use the decoder/joiner networks for the GigaSpeech dataset.
* Disable speed perturbe for XL subset.
* Compute the Nbest oracle WER for RNN-T decoding.
* Minor fixes.
* Minor fixes.
* Add results.
* Update results.
* Update CI.
* Update results.
* Fix style issues.
* Update results.
* Fix style issues.
2022-04-29 15:40:30 +08:00
Fangjun Kuang
fce7f3cd9a
Support computing RNN-T loss with torchaudio ( #316 )
2022-04-19 18:47:13 +08:00
Wei Kang
021c79824e
Add LG decoding ( #277 )
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* Add LG decoding
* Add log weight pushing
* Minor fixes
2022-04-19 17:23:46 +08:00
Mingshuang Luo
d88e786513
Changes for pretrained.py (tedlium3 pruned RNN-T) ( #311 )
2022-04-14 09:54:07 +08:00
Fangjun Kuang
bdeff338c2
Fix CI errors. ( #310 )
2022-04-12 09:09:56 +08:00
Mingshuang Luo
8cb727e24a
Tedlium3 pruned transducer stateless ( #261 )
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* update tedlium3-pruned-transducer-stateless-codes
* update README.md
* update README.md
* add fast beam search for decoding
* do a change for RESULTS.md
* do a change for RESULTS.md
* do a fix
* do some changes for pruned RNN-T
2022-04-11 17:08:53 +08:00
Wei Kang
f721a2fd7a
Minor fixes for logging ( #296 )
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* Minor fixes for logging
* Minor fix
2022-04-10 23:34:18 +08:00
Fangjun Kuang
87cf9231ea
Support specifying iteration number of checkpoints for decoding. ( #289 )
2022-04-03 13:02:08 +08:00
Fangjun Kuang
9a11808ed3
Set the seed for dataloader. ( #282 )
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Also, suppress torch warnings about division by truncation.
2022-03-31 16:48:46 +08:00
Fangjun Kuang
395a3f952b
Batch decoding for models trained with optimized_transducer ( #267 )
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* Add greedy search in batch mode.
* Add modified beam search in batch mode.
2022-03-23 19:11:34 +08:00
Fangjun Kuang
3ae7265737
More fixes to the checkpoint code. ( #266 )
2022-03-23 14:37:54 +08:00
Fangjun Kuang
6a091da0b0
Minor fixes for saving checkpoints. ( #265 )
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* Minor fixes for saving checkpoints.
* Fix loading checkpoints saved by previous code.
2022-03-23 12:22:05 +08:00
Fangjun Kuang
8c7995d493
Support modified beam search in batch mode. ( #264 )
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* Support modified beam search in batch mode.
* Update k2 versions in GitHub CI.
2022-03-22 15:14:04 +08:00
Fangjun Kuang
d5c78a2238
Implement greedy search in batch mode for transducer decoding. ( #262 )
2022-03-22 10:32:22 +08:00
Wei Kang
b2b4d9e0b6
Add fast beam search decoding ( #250 )
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* Add fast beam search decoding
* Minor fixes
* Minor fixes
* Minor fixes
* Fix comments
* Fix comments
2022-03-21 16:22:25 +08:00
Fangjun Kuang
ae564f91e6
Periodically saving checkpoint after processing given number of batches ( #259 )
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* Periodically saving checkpoint after processing given number of batches.
2022-03-20 23:51:33 +08:00
Fangjun Kuang
bb7f6ed6b7
Add modified beam search for pruned rnn-t. ( #248 )
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* Add modified beam search for pruned rnn-t.
* Fix style issues.
* Update RESULTS.md.
* Fix typos.
* Minor fixes.
* Test the pre-trained model using GitHub actions.
* Let the user install optimized_transducer on her own.
* Fix errors in GitHub CI.
2022-03-12 16:16:55 +08:00
Fangjun Kuang
1c35ae1dba
Reset seed at the beginning of each epoch. ( #221 )
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* Reset seed at the beginning of each epoch.
* Use a different seed for each epoch.
2022-02-21 15:16:39 +08:00
Wei Kang
b702281e90
Use k2 pruned transducer loss to train conformer-transducer model ( #194 )
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* Using k2 pruned version transducer loss to train model
* Fix style
* Minor fixes
2022-02-17 13:33:54 +08:00
