4 Commits

Author	SHA1	Message	Date
Fangjun Kuang	3e2dbc9ab5	Minor fixes.	2022-05-23 18:18:04 +08:00
Fangjun Kuang	d11e01e190	Minor fixes.	2022-05-10 22:06:34 +08:00
Fangjun Kuang	026f446a4d	Use k2 pruned RNN-T.	2022-04-28 14:13:26 +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