icefall/egs/librispeech/ASR/pruned_transducer_stateless7_streaming
jaeeunbaik 915e8e399c Add CHiME-4 dataset, RIR and Self-Distillation
- Added CHiME-4 dataset integration in asr_datamodule.py
- Added Hugging Face upload script
- Added RIR augmentation
- Added Self-Distillation Training
2025-08-27 16:11:20 +09:00
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2023-06-02 14:12:42 +08:00
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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.