Zengwei Yao
ece728d895
Apply delay penalty on k2 ctc loss ( #669 )
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* add init files
* fix bug, apply delay penalty
* fix decoding code and getting timestamps
* add option applying delay penalty on ctc log-prob
* fix bug of streaming decoding
* minor change for bpe-based case
* add test_model.py
* add README.md
* add CI
2022-11-28 22:34:02 +08:00
abb128
61032e70e0
Fix exception in find_checkpoints ( #668 )
2022-11-26 10:10:37 +08:00
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
Fangjun Kuang
7e82f87126
Add Zipformer from Dan ( #672 )
2022-11-12 18:11:19 +08:00
Zengwei Yao
20f092e709
Support decoding with averaged model when using --iter ( #353 )
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* support decoding with averaged model when using --iter
* minor fix
* monir fix of copyright date
2022-05-07 13:09:11 +08:00
Zengwei Yao
c059ef3169
Keep model_avg on cpu ( #348 )
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* keep model_avg on cpu
* explicitly convert model_avg to cpu
* minor fix
* remove device convertion for model_avg
* modify usage of the model device in train.py
* change model.device to next(model.parameters()).device for decoding
* assert params.start_epoch>0
* assert params.start_epoch>0, params.start_epoch
2022-05-07 10:42:34 +08:00
Zengwei Yao
00c48ec1f3
Model average ( #344 )
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* First upload of model average codes.
* minor fix
* update decode file
* update .flake8
* rename pruned_transducer_stateless3 to pruned_transducer_stateless4
* change epoch number counter starting from 1 instead of 0
* minor fix of pruned_transducer_stateless4/train.py
* refactor the checkpoint.py
* minor fix, update docs, and modify the epoch number to count from 1 in the pruned_transducer_stateless4/decode.py
* update author info
* add docs of the scaling in function average_checkpoints_with_averaged_model
2022-05-05 21:20:04 +08:00
Fangjun Kuang
9aeea3e1af
Support averaging models with weight tying. ( #333 )
2022-04-26 13:32:03 +08:00
Mingshuang Luo
93c60a9d30
Code style check for librispeech pruned transducer stateless2 ( #308 )
2022-04-11 22:15:18 +08:00
Daniel Povey
6eb6d9b4cd
Merge pull request #288 from danpovey/reworked_model
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Reworked model
2022-04-11 15:03:08 +08:00
Daniel Povey
d1e4ae788d
Refactor how learning rate is set.
2022-04-10 15:25:27 +08:00
Fangjun Kuang
87cf9231ea
Support specifying iteration number of checkpoints for decoding. ( #289 )
2022-04-03 13:02:08 +08:00
Fangjun Kuang
ae564f91e6
Periodically saving checkpoint after processing given number of batches ( #259 )
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* Periodically saving checkpoint after processing given number of batches.
2022-03-20 23:51:33 +08:00
Fangjun Kuang
ec591698b0
Associate a cut with token alignment (without repeats) ( #125 )
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* WIP: Associate a cut with token alignment (without repeats)
* Save framewise alignments with/without repeats.
* Minor fixes.
2021-11-29 18:50:54 +08:00
Fangjun Kuang
8cb7f712e4
Use GPU for averaging checkpoints if possible. ( #84 )
2021-10-26 17:10:04 +08:00
pkufool
19c4214958
Fix code style and add copyright. ( #18 )
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* Fix style and add copyright
* Minor fix
* Remove duplicate lines
* Reformat conformer.py by black
* Reformat code style with black.
* Fix github workflows
* Fix lhotse installation
* Install icefall requirements
* Update k2 version, remove lhotse from test workflow
2021-08-23 10:43:59 +08:00
Fangjun Kuang
8469f9ae0a
Refactor asr_datamodule. ( #15 )
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* WIP: Refactor asr_datamodule.
* Fixes after review.
* Minor fixes.
2021-08-21 09:53:46 +08:00
Fangjun Kuang
d3101fb005
Fix loading checkpoint in DDP training.
2021-07-26 08:08:14 +08:00
Fangjun Kuang
f3542c7793
Add CTC training.
2021-07-24 17:13:20 +08:00
