This is a TensorFlow implementation of the Vector Quantised-Variational AutoEncoder for voice conversion.
- VQVAE for voice conversion
- WaveNet which allows local conditioning
Code is tested on TensorFlow version 1.4 for Python 3.6.
In addition, librosa must be installed for reading and writing audio.
In this test, we generate 3-type wavs and each type has different style each other.
See below generated examples for train.
You can find more details in simple vq-vae test and the generated files are on results folder.
This will be updated soon. Recently, I'm focus on wavenet project. After build vocoder, I'll go on this test.