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icefall/egs/aishell/ASR/transducer_stateless_modified
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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
..
__init__.py
Add modified transducer loss for AIShell dataset (#219)
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asr_datamodule.py
Add modified transducer loss for AIShell dataset (#219)
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beam_search.py
Add modified transducer loss for AIShell dataset (#219)
2022-03-02 16:02:38 +08:00
conformer.py
Add modified transducer loss for AIShell dataset (#219)
2022-03-02 16:02:38 +08:00
decode.py
Sort results to make it more convenient to compare decoding results (#522)
2022-08-12 07:12:50 +08:00
decoder.py
Add modified transducer loss for AIShell dataset (#219)
2022-03-02 16:02:38 +08:00
encoder_interface.py
Add modified transducer loss for AIShell dataset (#219)
2022-03-02 16:02:38 +08:00
export.py
do some changes for export.py (#437)
2022-06-20 14:57:08 +08:00
joiner.py
Add modified transducer loss for AIShell dataset (#219)
2022-03-02 16:02:38 +08:00
model.py
Add modified transducer loss for AIShell dataset (#219)
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pretrained.py
Ignore padding frames during RNN-T decoding. (#358)
2022-05-13 07:39:14 +08:00
README.md
Add modified transducer loss for AIShell dataset (#219)
2022-03-02 16:02:38 +08:00
subsampling.py
Add modified transducer loss for AIShell dataset (#219)
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test_decoder.py
Add modified transducer loss for AIShell dataset (#219)
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train.py
Fix aishell. (#416)
2022-06-10 11:47:43 +08:00
transformer.py
Add modified transducer loss for AIShell dataset (#219)
2022-03-02 16:02:38 +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_modified/train.py \
  --world-size 8 \
  --num-epochs 30 \
  --start-epoch 0 \
  --exp-dir transducer_stateless_modified/exp \
  --max-duration 250 \
  --lr-factor 2.5