9 Commits

Author	SHA1	Message	Date
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
Fangjun Kuang	95af039733	RNN-T training for yesno. (#141) ... * RNN-T training for yesno. * Rename Jointer to Joiner.	2021-12-07 21:44:37 +08:00
Piotr Żelasko	adb068eb82	setup.py (#64)	2021-10-01 16:43:08 +08:00
Fangjun Kuang	abadc71415	Use new APIs with k2.RaggedTensor (#38) ... * Use new APIs with k2.RaggedTensor * Fix style issues. * Update the installation doc, saying it requires at least k2 v1.7 * Use k2 v1.7	2021-09-08 14:55:30 +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	4ccae509d3	WIP: Begin to add BPE decoding	2021-07-26 20:06:58 +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
Fangjun Kuang	40eed74460	Download LM for LibriSpeech.	2021-07-15 21:09:14 +08:00