Perturbation AUTOVC: Voice Conversion From Perturbation and Autoencoder Loss

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...

Full description

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

Similar Items

Similar Items