add shell files.

examples/fastspeech/synthesis.sh

@@ -0,0 +1,14 @@
+# train model
+
+python -u synthesis.py \
+--use_gpu=1 \
+--alpha=1.0 \
+--checkpoint_path='checkpoint/' \
+--fastspeech_step=71000 \
+--log_dir='./log' \
+
+if [ $? -ne 0 ]; then
+    echo "Failed in synthesis!"
+    exit 1
+fi
+exit 0

examples/fastspeech/train.sh

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+
+# train model
+# if you wish to resume from an exists model, uncomment --checkpoint_path and --fastspeech_step
+#CUDA_VISIBLE_DEVICES=0,1,2,3 \
+python -u train.py \
+--batch_size=32 \
+--epochs=10000 \
+--lr=0.001 \
+--save_step=500 \
+--use_gpu=1 \
+--use_data_parallel=0 \
+--data_path='../../dataset/LJSpeech-1.1' \
+--transtts_path='../transformer_tts/checkpoint' \
+--transformer_step=160000 \
+--save_path='./checkpoint' \
+--log_dir='./log' \
+--config_path='config/fastspeech.yaml' \
+#--checkpoint_path='./checkpoint' \
+#--fastspeech_step=97000 \
+
+if [ $? -ne 0 ]; then
+    echo "Failed in training!"
+    exit 1
+fi
+exit 0

examples/transformer_tts/synthesis.sh

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+
+# train model
+#CUDA_VISIBLE_DEVICES=0,1,2,3 \
+python -u synthesis.py \
+--max_len=50 \
+--transformer_step=160000 \
+--postnet_step=70000 \
+--use_gpu=1
+--checkpoint_path='./checkpoint' \
+--log_dir='./log' \
+--sample_path='./sample' \
+--config_path='config/synthesis.yaml' \
+
+if [ $? -ne 0 ]; then
+    echo "Failed in training!"
+    exit 1
+fi
+exit 0

examples/transformer_tts/train_transformer.sh

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+
+# train model
+# if you wish to resume from an exists model, uncomment --checkpoint_path and --transformer_step
+#CUDA_VISIBLE_DEVICES=0,1,2,3 \
+python -u train_transformer.py \
+--batch_size=32 \
+--epochs=10000 \
+--lr=0.001 \
+--save_step=1000 \
+--image_step=2000 \
+--use_gpu=1 \
+--use_data_parallel=0 \
+--stop_token=0 \
+--data_path='../../dataset/LJSpeech-1.1' \
+--save_path='./checkpoint' \
+--log_dir='./log' \
+--config_path='config/train_transformer.yaml' \
+#--checkpoint_path='./checkpoint' \
+#--transformer_step=160000 \
+
+if [ $? -ne 0 ]; then
+    echo "Failed in training!"
+    exit 1
+fi
+exit 0

examples/transformer_tts/train_vocoder.sh

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+
+# train model
+# if you wish to resume from an exists model, uncomment --checkpoint_path and --transformer_step
+#CUDA_VISIBLE_DEVICES=0,1,2,3 \
+python -u train_vocoder.py \
+--batch_size=32 \
+--epochs=10000 \
+--lr=0.001 \
+--save_step=1000 \
+--use_gpu=1 \
+--use_data_parallel=0 \
+--data_path='../../dataset/LJSpeech-1.1' \
+--save_path='./checkpoint' \
+--log_dir='./log' \
+--config_path='config/train_vocoder.yaml' \
+#--checkpoint_path='./checkpoint' \
+#--vocoder_step=27000 \
+
+
+if [ $? -ne 0 ]; then
+    echo "Failed in training!"
+    exit 1
+fi
+exit 0