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162 Commits

Author SHA1 Message Date
pkufool
ef233486ae
The training script produce WER of 2.57% on librispeech test-clean (#13) 
* Add grad_clip and weight-decay, small fix of dataloader and masking

* Add RESULTS.md
 2021-08-20 10:08:08 +08:00
Fangjun Kuang
5a0b9bcb23
Refactoring (#4) 
* Fix an error in TDNN-LSTM training.

* WIP: Refactoring

* Refactor transformer.py

* Remove unused code.

* Minor fixes.
 2021-08-04 14:53:02 +08:00
Fangjun Kuang
398ed80d7a Minor fixes to support DDP training. 2021-07-31 15:26:57 +08:00
Fangjun Kuang
acc63a9172 WIP: Add BPE training code. 2021-07-29 20:23:52 +08:00
Fangjun Kuang
bd69e4be32 Use attention decoder for rescoring. 2021-07-28 12:22:09 +08:00
Fangjun Kuang
f65854cca5 Add BPE decoding results. 2021-07-27 17:38:47 +08:00
Fangjun Kuang
d3101fb005 Fix loading checkpoint in DDP training. 2021-07-26 08:08:14 +08:00
Fangjun Kuang
8055bf31a0 Support DDP training. 2021-07-25 21:40:09 +08:00
Fangjun Kuang
4a66712406 Add LM rescoring. 2021-07-25 18:21:26 +08:00
Fangjun Kuang
6f9fe5b906 Refactor decoding code. 2021-07-24 22:23:50 +08:00
Fangjun Kuang
f3542c7793 Add CTC training. 2021-07-24 17:13:20 +08:00
Fangjun Kuang
e005ea062c Minor fixes after review. 2021-07-20 10:02:20 +08:00