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13 Commits

Author SHA1 Message Date
zr_jin
ef5da4824d
formatted the entire LibriSpeech recipe (#1270) 
* formatted the entire librispeech recipe

* minor updates
 2023-09-24 17:31:01 +08:00
Fangjun Kuang
1aeffa73bc
remove outdated code in train.py (#1096) 2023-05-25 07:47:38 +08:00
huangruizhe
6693d907d3
shuffle full Librispeech data (#574) 
* shuffled full/partial librispeech data

* fixed the code style issue

* Shuffled full librispeech data off-line

* Fixed style, addressed comments, and removed redandunt codes

* Used the suggested version of black

* Propagated the changes to other folders for librispeech (except
conformer_mmi and streaming_conformer_ctc)
 2022-11-27 11:26:09 +08:00
Desh Raj
107df3b115 apply black on all files 2022-11-17 09:42:17 -05:00
Fangjun Kuang
60317120ca
Revert "Apply new Black style changes" 2022-11-17 20:19:32 +08:00
Desh Raj
d110b04ad3 apply new black formatting to all files 2022-11-16 13:06:43 -05:00
Zengwei Yao
a4dd273776
fix about tensorboard (#516) 
* fix metricstracker

* fix style
 2022-08-04 19:57:12 +08:00
Quandwang
8512aaf585
fix typos (#409) 2022-06-08 20:08:44 +08:00
Fangjun Kuang
9a11808ed3
Set the seed for dataloader. (#282) 
Also, suppress torch warnings about division by truncation.
 2022-03-31 16:48:46 +08:00
Fangjun Kuang
1c35ae1dba
Reset seed at the beginning of each epoch. (#221) 
* Reset seed at the beginning of each epoch.

* Use a different seed for each epoch.
 2022-02-21 15:16:39 +08:00
Fangjun Kuang
14c93add50
Remove batchnorm, weight decay, and SOS from transducer conformer encoder (#155) 
* 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) 
* 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
1d44da845b
RNN-T Conformer training for LibriSpeech (#143) 
* Begin to add RNN-T training for librispeech.

* Copy files from conformer_ctc.

Will edit it.

* Use conformer/transformer model as encoder.

* Begin to add training script.

* Add training code.

* Remove long utterances to avoid OOM when a large max_duraiton is used.

* Begin to add decoding script.

* Add decoding script.

* Minor fixes.

* Add beam search.

* Use LSTM layers for the encoder.

Need more tunings.

* Use stateless decoder.

* Minor fixes to make it ready for merge.

* Fix README.

* Update RESULT.md to include RNN-T Conformer.

* Minor fixes.

* Fix tests.

* Minor fixes.

* Minor fixes.

* Fix tests.
 2021-12-18 07:42:51 +08:00