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Singing Style Transfer Using Cycle-Consistent Boundary Equilibrium Generative Adversarial Networks
Cheng-Wei Wu, Jen-Yu Liu, Yi-Hsuan Yang, Jyh-Shing R. Jang
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.
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