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icefall/egs/alimeeting/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_stateless2
Use jsonl for CutSet in the LibriSpeech recipe. (#397)
2022-06-06 10:19:16 +08:00
prepare.sh
[Ready to merge] Pruned_transducer_stateless2 for alimeeting dataset (#378)
2022-06-04 13:47:46 +08:00
README.md
[Ready to merge] Pruned_transducer_stateless2 for alimeeting dataset (#378)
2022-06-04 13:47:46 +08:00
RESULTS.md
[Ready to merge] Pruned_transducer_stateless2 for alimeeting dataset (#378)
2022-06-04 13:47:46 +08:00
shared
[Ready to merge] Pruned_transducer_stateless2 for alimeeting dataset (#378)
2022-06-04 13:47:46 +08:00

README.md

Introduction

This recipe includes some different ASR models trained with Alimeeting (far).

./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.