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dohe0342
ad510ca544 from local 2022-12-09 17:26:31 +09:00
dohe0342
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dohe0342
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dohe0342
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dohe0342
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dohe0342
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dohe0342
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dohe0342
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dohe0342
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dohe0342
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dohe0342
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dohe0342
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dohe0342
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dohe0342
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dohe0342
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dohe0342
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dohe0342
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dohe0342
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dohe0342
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dohe0342
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dohe0342
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dohe0342
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dohe0342
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dohe0342
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dohe0342
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dohe0342
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dohe0342
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dohe0342
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dohe0342
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dohe0342
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dohe0342
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dohe0342
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dohe0342
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dohe0342
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dohe0342
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dohe0342
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dohe0342
3c1957c20b from local 2022-12-09 15:58:01 +09:00
dohe0342
2709e500e7 from local 2022-12-09 15:57:56 +09:00
dohe0342
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dohe0342
0982e809a3 from local 2022-12-09 15:53:58 +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
huangruizhe
0e325c8782
Fixed rnn_lm model.py (#738) 2022-12-07 15:43:26 +08:00
Ali Haznedaroğlu
10472e7ffc
Update prepare.sh (#737) 2022-12-07 08:22:50 +08:00
Fangjun Kuang
f13cf61b05
Convert conv-emformer to ncnn (#717) 
* Export conv-emformer via torch.jit.trace()
 2022-12-06 16:34:27 +08:00
Cesc
be6e08f69a
fix wenet stateless5 jit export error (#735) 2022-12-05 23:35:10 +08:00
Fangjun Kuang
bd7fa2253d
Update the manifest statistics of the L subset of wenetspeech (#731) 2022-12-04 20:27:45 +08:00
Wei Kang
c25c8c6ad1
Add need_repeat_flag in phone based ctc graph compiler (#727) 
* Fix is_repeat_token in icefall

* Fix phone based recipe

* Update egs/librispeech/ASR/conformer_ctc3/train.py

Co-authored-by: Fangjun Kuang <csukuangfj@gmail.com>

* Fix black

Co-authored-by: Fangjun Kuang <csukuangfj@gmail.com>
 2022-12-04 17:20:17 +08:00
Senyan Li
e6a6727012
Add Tibetan Amdo dialect xbmu_amdo31 in egs (#706) 
* add egs/xbmu_amdo31

* fix xbmu_amdo31/ASR/pruned_transducer_stateless5/train.py

* fix xbmu_amdo31/ASR/pruned_transducer_stateless5/asr_datamodule.py

* fix xbmu_amdo31/ASR/prepare.sh

* add RESULTS.md and README.md

* dix pruned_transducer_stateless5 decode.py

* add transducer stateless7

* fix transducer_stateless7

* fix RESULTS.md error

* Add pruned_transducer_stateless7 validation set results
 2022-12-03 23:50:49 +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