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icefall/egs/aishell/ASR/transducer_stateless
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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
..
__init__.py
add transducer_stateless with char unit to AIShell (#164)
2022-01-01 18:32:08 +08:00
asr_datamodule.py
add transducer_stateless with char unit to AIShell (#164)
2022-01-01 18:32:08 +08:00
beam_search.py
add transducer_stateless with char unit to AIShell (#164)
2022-01-01 18:32:08 +08:00
conformer.py
Use jsonl for CutSet in the LibriSpeech recipe. (#397)
2022-06-06 10:19:16 +08:00
decode.py
update aishell-1 recipe with k2.rnnt_loss (#215)
2022-02-19 15:56:39 +08:00
decoder.py
Minor fixes (#193)
2022-01-27 18:01:17 +08:00
encoder_interface.py
add transducer_stateless with char unit to AIShell (#164)
2022-01-01 18:32:08 +08:00
export.py
Do some changes for aishell/ASR/transducer stateless/export.py (#347)
2022-05-07 11:09:31 +08:00
joiner.py
add transducer_stateless with char unit to AIShell (#164)
2022-01-01 18:32:08 +08:00
model.py
Add modified transducer loss for AIShell dataset (#219)
2022-03-02 16:02:38 +08:00
pretrained.py
Minor fixes (#193)
2022-01-27 18:01:17 +08:00
README.md
add transducer_stateless with char unit to AIShell (#164)
2022-01-01 18:32:08 +08:00
subsampling.py
add transducer_stateless with char unit to AIShell (#164)
2022-01-01 18:32:08 +08:00
test_decoder.py
add transducer_stateless with char unit to AIShell (#164)
2022-01-01 18:32:08 +08:00
train.py
Use jsonl for CutSet in the LibriSpeech recipe. (#397)
2022-06-06 10:19:16 +08:00
transformer.py
add transducer_stateless with char unit to AIShell (#164)
2022-01-01 18:32:08 +08:00

README.md

Introduction

The decoder, i.e., the prediction network, is from https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9054419 (Rnn-Transducer with Stateless Prediction Network)

You can use the following command to start the training:

cd egs/aishell/ASR

export CUDA_VISIBLE_DEVICES="0,1,2,3,4,5,6,7"

./transducer_stateless/train.py \
  --world-size 8 \
  --num-epochs 30 \
  --start-epoch 0 \
  --exp-dir transducer_stateless/exp \
  --max-duration 250 \
  --lr-factor 2.5