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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...

Täydet tiedot

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Bibliografiset tiedot
Päätekijät: Hwa-Young Park, Young Han Lee, Chanjun Chun
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: IEEE 2023-01-01
Sarja:IEEE Access
Aiheet:
Linkit:https://ieeexplore.ieee.org/document/10353951/
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