VQ-VAE

This is a Tensorflow Implementation of VQ-VAE Speaker Conversion introduced in Neural Discrete Representation Learning. Although the training curves look fine, the samples generated during training were bad. Unfortunately, I have no time to dig more in this as I'm tied with my other projects. So I publish this project for those who are interested in the paper or its implementation. If you succeed in training based on this repo, please share the good news.

Data

• vctk

Requirements

• NumPy >= 1.11.1
• TensorFlow >= 1.3
• librosa
• tqdm
• matplotlib
• scipy

Training

• STEP 0. Download vctk
• STEP 1. Adjust hyper parameters in hyperparams.py.
• STEP 2. Run python prepro.py.
• STEP 3. Run python train.py.