Fangjun Kuang 8136ad775b

Use high_freq -400 in computing fbank features. (#1447) ...

See also https://github.com/k2-fsa/sherpa-onnx/issues/514

2024-01-04 13:59:32 +08:00

..

__init__.py

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

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

asr_datamodule.py

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

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

beam_search.py

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

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

conformer.py

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

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

decode.py

restore

2024-01-14 08:05:49 -05:00

decoder.py

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

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

encoder_interface.py

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

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

export.py

restore

2024-01-14 08:05:49 -05:00

joiner.py

Various fixes to support torch script. (#371)

2022-05-16 21:46:59 +08:00

model.py

restore

2024-01-14 08:05:49 -05:00

pretrained.py

Use high_freq -400 in computing fbank features. (#1447)

2024-01-04 13:59:32 +08:00

subsampling.py

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

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

test_model.py

restore

2024-01-14 08:05:49 -05:00

train.py

remove outdated code in train.py (#1096)

2023-05-25 07:47:38 +08:00

transformer.py

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

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