14 Commits

Author	SHA1	Message	Date
Daniel Povey	9fb8645168	Implement JoinDropout	2022-06-08 16:17:42 +08:00
Daniel Povey	a83bde1372	Simplify implementation as current idea was not working to decorrelate	2022-06-08 10:24:41 +08:00
Daniel Povey	135be1e19c	Change dropout_rate from 0.2 to 0.1; fix logging statement; fix assignment to rand_scales, nonrand_scales to use [:]	2022-06-08 00:42:04 +08:00
Daniel Povey	a6050cb2de	Implement new, more principled but maybe slower version.	2022-06-07 23:38:38 +08:00
Daniel Povey	a270973b69	Add gaussian version of decorrelation	2022-06-07 18:55:48 +08:00
Daniel Povey	5d24489752	Have 2 scales on dropout	2022-06-07 18:31:42 +08:00
Daniel Povey	53ca61db7a	Reduce scale on decorrelation by 5, to 0.01	2022-06-07 17:10:54 +08:00
Daniel Povey	cd6b707e2b	Various bug fixes	2022-06-07 16:45:32 +08:00
Daniel Povey	40a0934b4e	Implement GaussProjDrop	2022-06-07 11:51:24 +08:00
Daniel Povey	31848dcd11	Randomize the projections	2022-06-06 16:07:28 +08:00
Daniel Povey	71e927411a	Implement FixedProjDrop	2022-06-06 15:38:59 +08:00
Daniel Povey	e535887abb	Bug fixes.	2022-06-05 23:24:02 +08:00
Daniel Povey	136ffb0597	Add ProjDrop for axis-independent dropout	2022-06-05 23:00:48 +08:00
Fangjun Kuang	2f1e23cde1	Narrower and deeper conformer (#330) ... * Copy files for editing. * Add random combine from #229. * Minor fixes. * Pass model parameters from the command line. * Fix warnings. * Fix warnings. * Update readme. * Rename to avoid conflicts. * Update results. * Add CI for pruned_transducer_stateless5 * Typo fixes. * Remove random combiner. * Update decode.py and train.py to use periodically averaged models. * Minor fixes. * Revert to use random combiner. * Update results. * Minor fixes.	2022-05-23 14:39:11 +08:00