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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

..

__init__.py

Training with byte level BPE (AIShell) (#986)

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asr_datamodule.py

Training with byte level BPE (AIShell) (#986)

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beam_search.py

Training with byte level BPE (AIShell) (#986)

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decode.py

zipformer wenetspeech (#1130)

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decoder.py

Training with byte level BPE (AIShell) (#986)

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encoder_interface.py

Training with byte level BPE (AIShell) (#986)

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export.py

Training with byte level BPE (AIShell) (#986)

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jit_pretrained.py

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

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joiner.py

Training with byte level BPE (AIShell) (#986)

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model.py

Training with byte level BPE (AIShell) (#986)

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optim.py

Training with byte level BPE (AIShell) (#986)

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pretrained.py

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

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scaling_converter.py

Training with byte level BPE (AIShell) (#986)

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scaling.py

Training with byte level BPE (AIShell) (#986)

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test_model.py

Training with byte level BPE (AIShell) (#986)

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train.py

fixes for init value of diagnostics.TensorDiagnosticOptions (#1269)

2023-09-24 17:06:47 +08:00

zipformer.py

Training with byte level BPE (AIShell) (#986)

2023-05-04 19:16:17 +08:00