Singing Style Transfer Using Cycle-Consistent Boundary Equilibrium Generative Adversarial Networks
Sound
2018-07-09 v1 Artificial Intelligence
Audio and Speech Processing
Abstract
Can we make a famous rap singer like Eminem sing whatever our favorite song? Singing style transfer attempts to make this possible, by replacing the vocal of a song from the source singer to the target singer. This paper presents a method that learns from unpaired data for singing style transfer using generative adversarial networks.
Cite
@article{arxiv.1807.02254,
title = {Singing Style Transfer Using Cycle-Consistent Boundary Equilibrium Generative Adversarial Networks},
author = {Cheng-Wei Wu and Jen-Yu Liu and Yi-Hsuan Yang and Jyh-Shing R. Jang},
journal= {arXiv preprint arXiv:1807.02254},
year = {2018}
}
Comments
3 pages, 3 figures, demo website: http://mirlab.org/users/haley.wu/cybegan