11 Commits

Author	SHA1	Message	Date
dohe0342	1f34b051dd	from local	2023-02-02 18:47:36 +09:00
dohe0342	507130fe2e	from local	2023-02-02 18:38:19 +09:00
dohe0342	ca1ee8b0d1	from local	2023-02-02 18:32:55 +09:00
dohe0342	d43fe6757a	from local	2023-02-02 18:32:44 +09:00
dohe0342	1e04e0babf	from local	2022-12-10 11:55:34 +09:00
dohe0342	c6d51efa69	from local	2022-12-10 11:54:48 +09:00
dohe0342	f8712897e2	from local	2022-12-10 11:54:18 +09:00
dohe0342	9143547bf2	from local	2022-12-09 16:25:00 +09:00
dohe0342	1f6ff8a453	from local	2022-12-09 16:24:57 +09:00
armusc	d65fe17d27	Update train.py with parameters_names as required by optimizer initialization (#742) ... * Update train.py	2022-12-08 20:21:51 +08:00
Zengwei Yao	8eb4b9d96d	Combining rnnt loss and k2-ctc loss for Dan's Zipformer (#683) ... * init files * add ctc as auxiliary loss and ctc_decode.py * tuning the scalar of HLG score for 1best, nbest and nbest-oracle * rename to pruned_transducer_stateless7_ctc * fix doc * fix bug, recover the hlg scores * modify ctc_decode.py, move out the hlg scale * fix hlg_scale * add export.py and pretrained.py, and so on * upload files, update README.md and RESULTS.md * add CI test	2022-12-03 19:01:10 +08:00