8 Commits

Author	SHA1	Message	Date
Fangjun Kuang	bb7f6ed6b7	Add modified beam search for pruned rnn-t. (#248) ... * Add modified beam search for pruned rnn-t. * Fix style issues. * Update RESULTS.md. * Fix typos. * Minor fixes. * Test the pre-trained model using GitHub actions. * Let the user install optimized_transducer on her own. * Fix errors in GitHub CI.	2022-03-12 16:16:55 +08:00
Fangjun Kuang	3ec219dfa0	Add stateless transducer tutorial. (#235) ... * WIP: Add stateless transducer tutorial. * Add more doc. * Minor fixes.	2022-03-03 22:33:47 +08:00
Fangjun Kuang	2332ba312d	Begin to use multiple datasets in training (#213) ... * Begin to use multiple datasets. * Finish preparing training datasets. * Minor fixes * Copy files. * Finish training code. * Display losses for gigaspeech and librispeech separately. * Fix decode.py * Make the probability to select a batch from GigaSpeech configurable. * Update results. * Minor fixes.	2022-02-21 15:27:27 +08:00
Fangjun Kuang	fb6a57e9e0	Increase the size of the context in the RNN-T decoder. (#153)	2021-12-23 07:55:02 +08:00
Fangjun Kuang	96e7f5c7ea	Release v0.1 (#26)	2021-08-24 21:30:30 +08:00
Fangjun Kuang	12a2fd023e	Add doc about installation and usage (#7) ... * Add readme. * Add TOC. * fix typos * Minor fixes after review.	2021-08-12 12:44:04 +08:00
Fangjun Kuang	f65854cca5	Add BPE decoding results.	2021-07-27 17:38:47 +08:00
Fangjun Kuang	40eed74460	Download LM for LibriSpeech.	2021-07-15 21:09:14 +08:00