7 Commits

Author	SHA1	Message	Date
zr_jin	a81396b482	Use tokens.txt to replace bpe.model (#1162)	2023-08-12 16:53:59 +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
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