Continuous vocoder applied in deep neural network based voice conversion

In this paper, a novel vocoder is proposed for a Statistical Voice Conversion (SVC) framework using deep neural network, where multiple features from the speech of two speakers (source and target) are converted acoustically. Traditional conversion methods focus on the prosodic feature represented by...

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Veröffentlicht in:Multimedia tools and applications 2019-12, Vol.78 (23), p.33549-33572
Hauptverfasser: Al-Radhi, Mohammed Salah, Csapó, Tamás Gábor, Németh, Géza
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Sprache:eng
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