icefall

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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

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asr_datamodule.py

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conformer.py

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decode.py

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export.py

Add HLG decoding with OpenFst on CPU for aishell conformer_ctc (#1279 )

2023-10-01 13:46:16 +08:00

jit_pretrained_decode_with_H.py

Add HLG decoding with OpenFst on CPU for aishell conformer_ctc (#1279 )

2023-10-01 13:46:16 +08:00

jit_pretrained_decode_with_HL.py

Add HLG decoding with OpenFst on CPU for aishell conformer_ctc (#1279 )

2023-10-01 13:46:16 +08:00

jit_pretrained_decode_with_HLG.py

Add HLG decoding with OpenFst on CPU for aishell conformer_ctc (#1279 )

2023-10-01 13:46:16 +08:00

label_smoothing.py

Fix potential bugs in PyTorch that exist in label_smoothing. (#300 )

2022-04-08 13:41:33 +08:00

pretrained.py

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

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

README.md

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subsampling.py

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test_subsampling.py

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test_transformer.py

Add HLG decoding with OpenFst on CPU for aishell conformer_ctc (#1279 )

2023-10-01 13:46:16 +08:00

train.py

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transformer.py

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README.md

Please visit https://icefall.readthedocs.io/en/latest/recipes/aishell/conformer_ctc.html for how to run this recipe.