Effects of Sinusoidal Model on Non-Parallel Voice Conversion with Adversarial Learning

Effects of Sinusoidal Model on Non-Parallel Voice Conversion with Adversarial Learning

Voice conversion (VC) transforms the speaking style of a source speaker to the speaking style of a target speaker by keeping linguistic information unchanged. Traditional VC techniques rely on parallel recordings of multiple speakers uttering the same sentences. Earlier approaches mainly find a mapp...

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Bibliographic Details
Main Authors: Mohammed Salah Al-Radhi, Tamás Gábor Csapó, Géza Németh
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Applied Sciences
Subjects:
sinusoidal model
non-parallel voice conversion
generative adversarial networks
continuous parameters
Online Access:https://www.mdpi.com/2076-3417/11/16/7489

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