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icefall/egs/commonvoice/ASR/pruned_transducer_stateless7_streaming
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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
..
beam_search.py
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commonvoice_fr.py
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decode_stream.py
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decode.py
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decoder.py
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do_not_use_it_directly.py
Rename zipformer2 to zipformer_for_ncnn_export_only to avoid confusion. (#1407)
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encoder_interface.py
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export-for-ncnn-zh.py
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export-for-ncnn.py
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export-onnx.py
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export.py
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finetune.py
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generate_model_from_checkpoint.py
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jit_pretrained.py
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jit_trace_export.py
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jit_trace_pretrained.py
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joiner.py
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model.py
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onnx_check.py
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onnx_model_wrapper.py
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onnx_pretrained.py
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optim.py
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pretrained.py
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README.md
Rename train2.py to avoid confusion (#1386)
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scaling_converter.py
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scaling.py
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streaming_beam_search.py
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streaming_decode.py
Use high_freq -400 in computing fbank features. (#1447)
2024-01-04 13:59:32 +08:00
streaming-ncnn-decode.py
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test_model.py
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train.py
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zipformer_for_ncnn_export_only.py
Rename zipformer2 to zipformer_for_ncnn_export_only to avoid confusion. (#1407)
2023-12-08 14:29:24 +08:00
zipformer.py
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README.md

This recipe implements Streaming Zipformer-Transducer model.

See https://k2-fsa.github.io/icefall/recipes/Streaming-ASR/librispeech/zipformer_transducer.html for detailed tutorials.

./emformer.py and ./train.py are basically the same as ./emformer2.py and ./do_not_use_it_directly.py. The only purpose of ./emformer2.py and ./do_not_use_it_directly.py is for exporting to sherpa-ncnn.