icefall/egs/librispeech/ASR/pruned_transducer_stateless7_streaming
marcoyang1998 57d6482a79
Streaming Zipformer with multi-dataset (#984)
* modify train.py

* add right padding option in decode.py

* update RESULTS.md
2023-04-21 15:43:28 +08:00
..
2022-12-30 10:52:18 +08:00
2022-12-30 10:52:18 +08:00
2022-12-30 10:52:18 +08:00
2022-12-30 10:52:18 +08:00
2022-12-30 10:52:18 +08:00
2022-12-30 10:52:18 +08:00
2022-12-30 10:52:18 +08:00
2023-03-08 22:56:04 +08:00

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.