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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
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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/tedlium3/ASR
export CUDA_VISIBLE_DEVICES="0,1,2,3"
./transducer_stateless/train.py \
--world-size 4 \
--num-epochs 30 \
--start-epoch 0 \
--exp-dir transducer_stateless/exp \
--max-duration 300