A TensorFlow implementation of VQVAE paper

This is a TensorFlow implementation of the Vector Quantised-Variational AutoEncoder for voice conversion.

Features

• VQVAE for voice conversion
• WaveNet which allows local conditioning

Requirements

Code is tested on TensorFlow version 1.4 for Python 3.6.

In addition, librosa must be installed for reading and writing audio.

Simple test

In this test, we generate 3-type wavs and each type has different style each other.

See below generated examples for train.

Results

You can find more details in simple vq-vae test and the generated files are on results folder.

Voice conversion test

This will be updated soon. Recently, I'm focus on wavenet project. After build vocoder, I'll go on this test.

References

• VQVAE, a VQVAE for image generation
• wavenet, a wavenet