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5c17255eec
* 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
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