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15 Commits

Author SHA1 Message Date
Teo Wen Shen
da87e7fc99
add weights_only=False to torch.load (#1984) 2025-07-10 15:27:08 +08:00
Fangjun Kuang
8136ad775b
Use high_freq -400 in computing fbank features. (#1447) 
See also https://github.com/k2-fsa/sherpa-onnx/issues/514
 2024-01-04 13:59:32 +08:00
zr_jin
a81396b482
Use tokens.txt to replace bpe.model (#1162) 2023-08-12 16:53:59 +08:00
Desh Raj
d31db01037 manual correction of black formatting 2022-11-17 14:18:05 -05:00
Desh Raj
107df3b115 apply black on all files 2022-11-17 09:42:17 -05:00
Fangjun Kuang
60317120ca
Revert "Apply new Black style changes" 2022-11-17 20:19:32 +08:00
Desh Raj
d110b04ad3 apply new black formatting to all files 2022-11-16 13:06:43 -05:00
Wei Kang
6e609c67a2
Using streaming conformer as transducer encoder (#380) 
* support streaming in conformer

* Add more documents

* support streaming on pruned_transducer_stateless2; add delay penalty; fixes for decode states

* Minor fixes

* streaming for pruned_transducer_stateless4

* Fix conv cache error, support async streaming decoding

* Fix style

* Fix style

* Fix style

* Add torch.jit.export

* mask the initial cache

* Cutting off invalid frames of encoder_embed output

* fix relative positional encoding in streaming decoding for compution saving

* Minor fixes

* Minor fixes

* Minor fixes

* Minor fixes

* Minor fixes

* Fix jit export for torch 1.6

* Minor fixes for streaming decoding

* Minor fixes on decode stream

* move model parameters to train.py

* make states in forward streaming optional

* update pretrain to support streaming model

* update results.md

* update tensorboard and pre-models

* fix typo

* Fix tests

* remove unused arguments

* add streaming decoding ci

* Minor fix

* Minor fix

* disable right context by default
 2022-06-28 00:18:54 +08:00
Fangjun Kuang
f23dd43719
Update results for libri+giga multi dataset setup. (#363) 
* Update results for libri+giga multi dataset setup.
 2022-05-14 21:45:39 +08:00
Fangjun Kuang
aeb8986e35
Ignore padding frames during RNN-T decoding. (#358) 
* Ignore padding frames during RNN-T decoding.

* Fix outdated decoding code.

* Minor fixes.
 2022-05-13 07:39:14 +08:00
Fangjun Kuang
bdeff338c2
Fix CI errors. (#310) 2022-04-12 09:09:56 +08:00
Fangjun Kuang
395a3f952b
Batch decoding for models trained with optimized_transducer (#267) 
* Add greedy search in batch mode.
* Add modified beam search in batch mode.
 2022-03-23 19:11:34 +08:00
Fangjun Kuang
8c7995d493
Support modified beam search in batch mode. (#264) 
* Support modified beam search in batch mode.
* Update k2 versions in GitHub CI.
 2022-03-22 15:14:04 +08:00
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
Wei Kang
b702281e90
Use k2 pruned transducer loss to train conformer-transducer model (#194) 
* Using k2 pruned version transducer loss to train model

* Fix style

* Minor fixes
 2022-02-17 13:33:54 +08:00