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* Fix outdated decoding code.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
bdeff338c2
Fix CI errors. ( #310 )
2022-04-12 09:09:56 +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
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
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
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
