Fangjun Kuang bb7f6ed6b7

Add modified beam search for pruned rnn-t. (#248) ...

* Add modified beam search for pruned rnn-t.

* Fix style issues.

* Update RESULTS.md.

* Fix typos.

* Minor fixes.

* Test the pre-trained model using GitHub actions.

* Let the user install optimized_transducer on her own.

* Fix errors in GitHub CI.

2022-03-12 16:16:55 +08:00

..

__init__.py

Use k2 pruned transducer loss to train conformer-transducer model (#194)

2022-02-17 13:33:54 +08:00

asr_datamodule.py

Use k2 pruned transducer loss to train conformer-transducer model (#194)

2022-02-17 13:33:54 +08:00

beam_search.py

Add modified beam search for pruned rnn-t. (#248)

2022-03-12 16:16:55 +08:00

conformer.py

Use k2 pruned transducer loss to train conformer-transducer model (#194)

2022-02-17 13:33:54 +08:00

decode.py

Add modified beam search for pruned rnn-t. (#248)

2022-03-12 16:16:55 +08:00

decoder.py

Use k2 pruned transducer loss to train conformer-transducer model (#194)

2022-02-17 13:33:54 +08:00

encoder_interface.py

Use k2 pruned transducer loss to train conformer-transducer model (#194)

2022-02-17 13:33:54 +08:00

export.py

Add modified beam search for pruned rnn-t. (#248)

2022-03-12 16:16:55 +08:00

joiner.py

Use k2 pruned transducer loss to train conformer-transducer model (#194)

2022-02-17 13:33:54 +08:00

model.py

Use k2 pruned transducer loss to train conformer-transducer model (#194)

2022-02-17 13:33:54 +08:00

pretrained.py

Add modified beam search for pruned rnn-t. (#248)

2022-03-12 16:16:55 +08:00

subsampling.py

Use k2 pruned transducer loss to train conformer-transducer model (#194)

2022-02-17 13:33:54 +08:00

test_decoder.py

Use k2 pruned transducer loss to train conformer-transducer model (#194)

2022-02-17 13:33:54 +08:00

train.py

Reset seed at the beginning of each epoch. (#221)

2022-02-21 15:16:39 +08:00

transformer.py

Use k2 pruned transducer loss to train conformer-transducer model (#194)

2022-02-17 13:33:54 +08:00