Perturbation AUTOVC: Voice Conversion From Perturbation and Autoencoder Loss

AUTOVC is a voice-conversion method that performs self-reconstruction using an autoencoder structure for zero-shot voice conversion. AUTOVC has the advantage of being easy and simple to learn because it only uses the autoencoder loss for learning. However, it performs voice conversion by disentangli...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Hwa-Young Park, Young Han Lee, Chanjun Chun
Format:	Article
Language:	English
Published:	IEEE 2023-01-01
Subjects:	Autoencoder information perturbation speech signal processing voice conversion
Online Access:	https://ieeexplore.ieee.org/document/10353951/