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* Use torch.jit.script() to export the decoder model See also https://github.com/k2-fsa/sherpa-onnx/issues/327
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.