Utterance Style Transfer Using Deep Models

The paper describes a solution to utterance style transfer within the speaker’s identity and emotional tone exchange while maintaining the utterance’s content. Using deep generative neural networks, we developed two models that differ in introducing information related to the speaker’s identity and...

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Vydané v:	Procedia computer science Ročník 192; s. 2132 - 2141
Hlavní autori:	Popek, Daniel, Markowska-Kaczmar, Urszula
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 2021
Predmet:	2010 MSC: : 62M45 68T05 adaptive systems learning Neural networks and related approaches learning 2010 MSC: : 62M45 68T05 Neural networks and related approaches adaptive systems
ISSN:	1877-0509, 1877-0509
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