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* update tedlium3-pruned-transducer-stateless-codes * update README.md * update README.md * add fast beam search for decoding * do a change for RESULTS.md * do a change for RESULTS.md * do a fix * do some changes for pruned RNN-T
21 lines
464 B
Markdown
21 lines
464 B
Markdown
## Introduction
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The decoder, i.e., the prediction network, is from
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https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9054419
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(Rnn-Transducer with Stateless Prediction Network)
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You can use the following command to start the training:
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```bash
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cd egs/tedlium3/ASR
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export CUDA_VISIBLE_DEVICES="0,1,2,3"
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./transducer_stateless/train.py \
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--world-size 4 \
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--num-epochs 30 \
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--start-epoch 0 \
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--exp-dir transducer_stateless/exp \
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--max-duration 300
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```
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