wavenet

WaveNet vocoder implementation for speech synthesis task

Papers:

• https://arxiv.org/pdf/1609.03499.pdf

• https://arxiv.org/pdf/2011.10469v1.pdf

Data:

• https://keithito.com/LJ-Speech-Dataset/

Docker

Build container:

./docker/build.sh <container>

Run container:

./docker/run.sh <container> <port>

Stop container:

./docker/stop.sh <container>

Model utilization

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