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icefall/egs/wenetspeech/ASR
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Wei Kang ba257efbcd
Add Context biasing (#1038) 
* Add context biasing for librispeech

* Add context biasing for wenetspeech

* fix bugs

* Implement Aho-Corasick context graph

* fix some bugs

* Fixes to forward_one_step; add draw to context graph

* add output arc; fix black

* Fix wenetspeech tokenizer

* Minor fixes to the decode.py
2023-06-03 21:28:49 +08:00
..
local
Shallow fusion for Aishell (#954)
2023-04-03 16:20:29 +08:00
pruned_transducer_stateless2
Add Context biasing (#1038)
2023-06-03 21:28:49 +08:00
pruned_transducer_stateless5
Add Context biasing (#1038)
2023-06-03 21:28:49 +08:00
finetune.sh
Add finetuning script for aishell (#974)
2023-03-30 17:08:46 +08:00
prepare.sh
Shallow fusion for Aishell (#954)
2023-04-03 16:20:29 +08:00
README.md
[WIP] Pruned-transducer-stateless5-for-WenetSpeech (offline and streaming) (#447)
2022-07-28 12:54:27 +08:00
RESULTS.md
Add other decoding methods (nbest, nbest oracle, nbest LG) for wenetspeech pruned rnnt2 (#482)
2022-07-29 12:03:08 +08:00
shared
[Ready to merge] Pruned Transducer Stateless2 for WenetSpeech (char-based) (#349)
2022-05-23 17:13:01 +08:00

README.md

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
pruned_transducer_stateless5 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.