zr_jin ef5da4824d
formatted the entire LibriSpeech recipe (#1270)
* formatted the entire librispeech recipe

* minor updates
2023-09-24 17:31:01 +08:00
..
2022-11-17 09:42:17 -05:00
2023-03-08 22:56:04 +08:00
2022-04-22 15:54:59 +08:00
2022-11-17 09:42:17 -05:00

Introduction

The encoder consists of LSTM layers in this folder. You can use the following command to start the training:

cd egs/librispeech/ASR

export CUDA_VISIBLE_DEVICES="0,1,2"

./transducer_lstm/train.py \
  --world-size 3 \
  --num-epochs 30 \
  --start-epoch 0 \
  --exp-dir transducer_lstm/exp \
  --full-libri 1 \
  --max-duration 300 \
  --lr-factor 3