AUTOVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss
This repository provides a PyTorch implementation of AUTOVC.
AUTOVC is a many-to-many non-parallel voice conversion framework.
To ensure respect for privacy rights and responsible use of our code, we are only releasing a portion of our code to allow users to convert voices among a predefined set of speakers in VCTK. Conversions from and to other voices have been disabled.
Audio Demo
The audio demo for AUTOVC can be found here
Dependencies
- Python 3
- Numpy
- PyTorch >= v0.4.1
- TensorFlow >= v1.3 (only for tensorboard)
- librosa
- tqdm
- wavenet_vocoder
pip install wavenet_vocoderfor more information, please refer to https://github.com/r9y9/wavenet_vocoder
Pre-trained models
| AUTOVC | WaveNet Vocoder |
|---|---|
| link | link |
0.Converting Mel-Spectrograms
Download pre-trained AUTOVC model, and run the conversion.ipynb in the same directory.
1.Mel-Spectrograms to waveform
Download pre-trained WaveNet Vocoder model, and run the vocoder.ipynb in the same the directory.