Zengwei Yao
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b25c234c51
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Add Zipformer-MMI (#746)
* Minor fix to conformer-mmi
* Minor fixes
* Fix decode.py
* add training files
* train with ctc warmup
* add pruned_transducer_stateless7_mmi
* add zipformer_mmi/mmi_decode.py, using HP as decoding graph
* add mmi_decode.py
* remove pruned_transducer_stateless7_mmi
* rename zipformer_mmi/train_with_ctc.py as zipformer_mmi/train.py
* remove unused method
* rename mmi_decode.py
* add export.py pretrained.py jit_pretrained.py ...
* add RESULTS.md
* add CI test
* add docs
* add README.md
Co-authored-by: pkufool <wkang.pku@gmail.com>
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2022-12-11 21:30:39 +08:00 |
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Desh Raj
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107df3b115
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apply black on all files
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2022-11-17 09:42:17 -05:00 |
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Fangjun Kuang
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60317120ca
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Revert "Apply new Black style changes"
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2022-11-17 20:19:32 +08:00 |
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Desh Raj
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d110b04ad3
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apply new black formatting to all files
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2022-11-16 13:06:43 -05:00 |
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Fangjun Kuang
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42b437bea6
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Use pre-sorted text to generate token ids for attention decoder. (#98)
* Use pre-sorted text to generate token ids for attention decoder.
See https://github.com/k2-fsa/icefall/issues/97
for more details.
* Fix typos.
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2021-10-29 13:46:41 +08:00 |
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Fangjun Kuang
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53b79fafa7
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Add MMI training with word pieces as modelling unit. (#6)
* Fix an error in TDNN-LSTM training.
* WIP: Refactoring
* Refactor transformer.py
* Remove unused code.
* Minor fixes.
* Fix decoder padding mask.
* Add MMI training with word pieces.
* Remove unused files.
* Minor fixes.
* Refactoring.
* Minor fixes.
* Use pre-computed alignments in LF-MMI training.
* Minor fixes.
* Update decoding script.
* Add doc about how to check and use extracted alignments.
* Fix style issues.
* Fix typos.
* Fix style issues.
* Disable macOS tests for now.
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2021-10-18 15:20:32 +08:00 |
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