icefall/tdnn at ebbd396c2bbe8f2bf626fef4e3778c32d28dc301 - icefall - Bi Git

mirrors/icefall

History

Fangjun Kuang 3059eb4511

Fix doc URLs (#1660 )

2024-06-21 11:10:14 +08:00

..

asr_datamodule.py

Update asr_datamodule.py (#1619 )

2024-05-07 21:37:55 +08:00

decode.py

Add export script for the yesno recipe. (#1212 )

2023-08-11 23:57:00 +08:00

export_onnx.py

Fix a typo in export_onnx.py for yesno (#1213 )

2023-08-12 16:59:06 +08:00

export.py

Add export script for the yesno recipe. (#1212 )

2023-08-11 23:57:00 +08:00

jit_pretrained_decode_with_H.py

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

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

jit_pretrained_decode_with_HL.py

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

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

jit_pretrained.py

Strengthened style constraints (#1527 )

2024-03-04 23:28:04 +08:00

model.py

[yesno] Remove padding in TDNN (#21 )

2021-08-23 15:59:36 +08:00

onnx_pretrained.py

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

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

pretrained.py

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

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

README.md

Fix doc URLs (#1660 )

2024-06-21 11:10:14 +08:00

train.py

apply black on all files

2022-11-17 09:42:17 -05:00

README.md

How to run this recipe

You can find detailed instructions by visiting https://k2-fsa.github.io/icefall/recipes/Non-streaming-ASR/yesno/index.html

It describes how to run this recipe and how to use a pre-trained model with ./pretrained.py.