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* add char-based pruned-rnnt2 for wenetspeech * style check * style check * change for export.py * do some changes * do some changes * a small change for .flake8 * solve the conflicts
903 B
903 B
Introduction
This recipe includes some different ASR models trained with WenetSpeech.
./RESULTS.md contains the latest results.
Transducers
There are various folders containing the name transducer
in this folder.
The following table lists the differences among them.
Encoder | Decoder | Comment | |
---|---|---|---|
pruned_transducer_stateless2 |
Conformer(modified) | Embedding + Conv1d | Using k2 pruned RNN-T loss |
The decoder in transducer_stateless
is modified from the paper
Rnn-Transducer with Stateless Prediction Network.
We place an additional Conv1d layer right after the input embedding layer.