Download the above dataset and modify the path in config.py. And then run the below command. 1st arg: signal prepro, 2nd arg: metadata (train/test split)

python prepro.py 1 1

DCTTS has two models. Firstly, you should train the model Text2Mel. I think that 20k step is enough (for only an hour). But you should train the model more and more with decaying guided attention loss.

python train.py text2mel <gpu_id>

Secondly, train the SSRN with GAN. The outputs of SSRN are many high resolution data. So training SSRN is slower than training Text2Mel

python gan_train.py <gpu_id>

After training, you can synthesize some speech from text.

python synthesize.py <gpu_id>

You can also test ssrn using the ground truth mel spectrograms.

python test.py <gpu_id>