Fangjun Kuang 42b437bea6

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.

2021-10-29 13:46:41 +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

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

2021-10-18 15:20:32 +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