8 Commits

Author	SHA1	Message	Date
Daniel Povey	c1063def95	First version of rand-combine iterated-training-like idea.	2022-02-27 17:34:58 +08:00
Daniel Povey	63d8d935d4	Refactor/simplify ConformerEncoder	2022-02-27 13:56:15 +08:00
Daniel Povey	2af1b3af98	Remove ReLU in attention	2022-02-14 19:39:19 +08:00
Daniel Povey	a859dcb205	Remove learnable offset, use relu instead.	2022-02-07 12:14:48 +08:00
Daniel Povey	48a764eccf	Add min in q,k,v of attention	2022-02-06 21:19:37 +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	cb04c8a750	Limit the number of symbols per frame in RNN-T decoding. (#151)	2021-12-18 11:00:42 +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