# train model
export CUDA_VISIBLE_DEVICES=0
python -u train.py \ --use_gpu=1 \
--data='../../dataset/LJSpeech-1.1' \
--alignments_path='./alignments/alignments.pkl' \
--output='./experiment' \ --config='configs/ljspeech.yaml' \ #--checkpoint='./checkpoint/fastspeech/step-120000' \
if [ $? -ne 0 ]; then echo "Failed in training!" exit 1 fi exit 0