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icefall/egs/yesno/ASR/tdnn
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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
..
asr_datamodule.py
Fixes to incorporate with the latest Lhotse release (#1249)
2023-09-13 12:39:49 +08:00
decode.py
restore
2024-01-14 08:05:49 -05:00
export_onnx.py
Fix a typo in export_onnx.py for yesno (#1213)
2023-08-12 16:59:06 +08:00
export.py
restore
2024-01-14 08:05:49 -05:00
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
Use high_freq -400 in computing fbank features. (#1447)
2024-01-04 13:59:32 +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
Add documentation about code style and creating new recipes. (#27)
2021-08-25 14:48:41 +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://icefall.readthedocs.io/en/latest/recipes/yesno.html

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

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