Fangjun Kuang d56002024d Run decode.py in GitHub actions.

2022-05-10 14:21:49 +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

Run decode.py in GitHub actions.

2022-05-10 14:21:49 +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

Modified conformer with multi datasets (#312)

2022-04-29 15:40:30 +08:00

decoder.py

Tedlium3 pruned transducer stateless (#261)

2022-04-11 17:08:53 +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)

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model.py

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

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pretrained.py

Fix CI errors. (#310)

2022-04-12 09:09:56 +08:00

subsampling.py

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

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test_decoder.py

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

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

train.py

Support computing RNN-T loss with torchaudio (#316)

2022-04-19 18:47:13 +08:00

transformer.py

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

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