Scalability and diversity of StarGANv2-VC in Arabic emotional voice conversion: Overcoming data limitations and enhancing performance

Emotional Voice Conversion (EVC) for under-resourced languages like Arabic faces challenges due to limited emotional speech data. This study explored strategies to mitigate dataset scarcity and improve Arabic EVC performance. Fundamental experiments (Speaker-Dependent, Gender-Dependent, Gender-Indep...

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Auteurs principaux:	Ali H. Meftah, Yousef A. Alotaibi, Sid Ahmed Selouani
Format:	Artigo
Langue:	Inglês
Publié:	Springer 2024-07-01
Collection:	Journal of King Saud University: Computer and Information Sciences
Sujets:	StarGANv2-VC Emotional voice conversion Arabic Emotion Voice conversion
Accès en ligne:	http://www.sciencedirect.com/science/article/pii/S1319157824001800
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