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icefall/egs/tedlium3/ASR
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Fangjun Kuang f1abce72f8
Use jsonl for CutSet in the LibriSpeech recipe. (#397) 
* Use jsonl for cutsets in the librispeech recipe.

* Use lazy cutset for all recipes.

* More fixes to use lazy CutSet.

* Remove force=True from logging to support Python < 3.8

* Minor fixes.

* Fix style issues.
2022-06-06 10:19:16 +08:00
..
local
Use jsonl for CutSet in the LibriSpeech recipe. (#397)
2022-06-06 10:19:16 +08:00
pruned_transducer_stateless
Ignore padding frames during RNN-T decoding. (#358)
2022-05-13 07:39:14 +08:00
transducer_stateless
Use jsonl for CutSet in the LibriSpeech recipe. (#397)
2022-06-06 10:19:16 +08:00
prepare.sh
Minor fixes to tedlimu3 to make ./prepare.sh working. (#258)
2022-03-20 20:26:03 +08:00
README.md
Tedlium3 pruned transducer stateless (#261)
2022-04-11 17:08:53 +08:00
RESULTS.md
Update results for tedlium3 pruned RNN-T (#307)
2022-04-11 22:19:26 +08:00
shared
Tedlium3 transducer stateless (#233)
2022-03-18 11:39:06 +08:00

README.md

Introduction

This recipe includes some different ASR models trained with TedLium3.

Transducers

There are various folders containing the name transducer in this folder. The following table lists the differences among them.

Encoder Decoder Comment
transducer_stateless Conformer Embedding + Conv1d
pruned_transducer_stateless Conformer 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.