WaveNet vocoder implementation for speech synthesis task
Papers:
Data:
Build container:
./docker/build.sh <container>
Run container:
./docker/run.sh <container> <port>
Stop container:
./docker/stop.sh <container>
Init project module:
./scripts/init_module.sh
Download training data:
./scripts/download_data.sh
Download model checkpoint:
./scripts/download_model.sh
Start training process:
./scripts/train_model.sh
Model inference, this one is configured to process example/spectrogram.wav file. Output audio is saved in example/generated.wav file:
./scripts/test_model.sh