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icefall/egs/alimeeting/ASR
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Wei Kang 5c17255eec
Sort results to make it more convenient to compare decoding results (#522) 
* Sort result to make it more convenient to compare decoding results

* Add cut_id to recognition results

* add cut_id to results for all recipes

* Fix torch.jit.script

* Fix comments

* Minor fixes

* Fix torch.jit.tracing for Pytorch version before v1.9.0
2022-08-12 07:12:50 +08:00
..
local
Replace ChunkedLilcomHdf5Writer with LilcomChunkyWriter. (#411)
2022-06-09 11:18:52 +08:00
pruned_transducer_stateless2
Sort results to make it more convenient to compare decoding results (#522)
2022-08-12 07:12:50 +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.