Fangjun Kuang 947418fc6a Set fsa.properties to None after changing its labels in-place.

2021-11-16 16:24:07 +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.

2021-11-16 16:24:07 +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

Use pre-sorted text to generate token ids for attention decoder. (#98)

2021-10-29 13:46:41 +08:00

transformer.py

Add MMI training with word pieces as modelling unit. (#6)

2021-10-18 15:20:32 +08:00