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icefall/egs/aishell/ASR/pruned_transducer_stateless7_streaming
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zr_jin 1ef349d120
[WIP] AISHELL-1 pruned transducer stateless7 streaming recipe (#1300) 
* `pruned_transudcer_stateless7_streaming` for AISHELL-1

* Update train.py

* Update train2.py

* Update decode.py

* Update RESULTS.md
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..
asr_datamodule.py
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beam_search.py
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decode_stream.py
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decode.py
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decoder.py
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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-zh.py
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export-onnx.py
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export.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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ncnn_custom_layer.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
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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
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streaming-ncnn-decode.py
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test_model.py
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train2.py
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train.py
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zipformer2.py
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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 ./train2.py. The only purpose of ./emformer2.py and ./train2.py is for exporting to sherpa-ncnn.