zr_jin
49a4b67288
fixed a CI test issue related to python version ( #1243 )
2023-09-07 19:48:46 +08:00
Fangjun Kuang
6fd674312c
Fix failed CI tests ( #1166 )
2023-07-05 10:52:34 +08:00
Yifan Yang
7c4ff66a3d
Fix yesno Cl test ( #1078 )
2023-05-22 12:46:43 +08:00
Yifan Yang
28af269e5e
Fix for workflow ( #934 )
2023-03-09 17:38:15 +08:00
Fangjun Kuang
6533f359c9
Fix CI ( #726 )
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* Fix CI
* Disable shuffle for yesno.
See https://github.com/k2-fsa/icefall/issues/197
2022-12-02 10:53:06 +08:00
Fangjun Kuang
3b5846effa
Update kaldifeat in CI tests ( #583 )
2022-09-28 20:51:06 +08:00
Fangjun Kuang
f1abce72f8
Use jsonl for CutSet in the LibriSpeech recipe. ( #397 )
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* Use jsonl for cutsets in the librispeech recipe.
* Use lazy cutset for all recipes.
* More fixes to use lazy CutSet.
* Remove force=True from logging to support Python < 3.8
* Minor fixes.
* Fix style issues.
2022-06-06 10:19:16 +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* Fix outdated decoding code.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
fce7f3cd9a
Support computing RNN-T loss with torchaudio ( #316 )
2022-04-19 18:47:13 +08:00
Fangjun Kuang
a7643301ec
Cache pip packages for GitHub actions ( #253 )
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* Cache pip packages in GitHub actions.
2022-03-15 15:34:21 +08:00
Fangjun Kuang
a8150021e0
Use modified transducer loss in training. ( #179 )
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* Use modified transducer loss in training.
* Minor fix.
* Add modified beam search.
* Add modified beam search.
* Minor fixes.
* Fix typo.
* Update RESULTS.
* Fix a typo.
* Minor fixes.
2022-02-07 18:37:36 +08:00
Fangjun Kuang
4c1b3665ee
Use optimized_transducer to compute transducer loss. ( #162 )
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* WIP: Use optimized_transducer to compute transducer loss.
* Minor fixes.
* Fix decoding.
* Fix decoding.
* Add RESULTS.
* Update RESULTS.
* Update CI.
* Fix sampling rate for yesno recipe.
2022-01-10 11:54:58 +08:00
Fangjun Kuang
14c93add50
Remove batchnorm, weight decay, and SOS from transducer conformer encoder ( #155 )
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* Remove batchnorm, weight decay, and SOS.
* Make --context-size configurable.
* Update results.
2021-12-27 16:01:10 +08:00
Fangjun Kuang
5b6699a835
Minor fixes to the RNN-T Conformer model ( #152 )
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* Disable weight decay.
* Remove input feature batchnorm..
* Replace BatchNorm in the Conformer model with LayerNorm.
* Use tanh in the joint network.
* Remove sos ID.
* Reduce the number of decoder layers from 4 to 2.
* Minor fixes.
* Fix typos.
2021-12-23 13:54:25 +08:00
Fangjun Kuang
fb6a57e9e0
Increase the size of the context in the RNN-T decoder. ( #153 )
2021-12-23 07:55:02 +08:00
