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.
- NumPy >= 1.11.1
- TensorFlow >= 1.3
- librosa
- tqdm
- matplotlib
- scipy
- STEP 0. Download vctk
- STEP 1. Adjust hyper parameters in
hyperparams.py. - STEP 2. Run
python prepro.py. - STEP 3. Run
python train.py.