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icefall/egs/librispeech/ASR/conformer_mmi
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Fangjun Kuang 1c35ae1dba
Reset seed at the beginning of each epoch. (#221)
* Reset seed at the beginning of each epoch.

* Use a different seed for each epoch.
2022-02-21 15:16:39 +08:00
..
__init__.py
Add MMI training with word pieces as modelling unit. (#6)
2021-10-18 15:20:32 +08:00
asr_datamodule.py
Add MMI training with word pieces as modelling unit. (#6)
2021-10-18 15:20:32 +08:00
conformer.py
Add MMI training with word pieces as modelling unit. (#6)
2021-10-18 15:20:32 +08:00
decode.py
Set fsa.properties to None after changing its labels in-place. (#121)
2021-11-16 23:11:30 +08:00
subsampling.py
Add MMI training with word pieces as modelling unit. (#6)
2021-10-18 15:20:32 +08:00
test_subsampling.py
Add MMI training with word pieces as modelling unit. (#6)
2021-10-18 15:20:32 +08:00
test_transformer.py
Add MMI training with word pieces as modelling unit. (#6)
2021-10-18 15:20:32 +08:00
train-with-attention.py
Use pre-sorted text to generate token ids for attention decoder. (#98)
2021-10-29 13:46:41 +08:00
train.py
Reset seed at the beginning of each epoch. (#221)
2022-02-21 15:16:39 +08:00
transformer.py
Add MMI training with word pieces as modelling unit. (#6)
2021-10-18 15:20:32 +08:00
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