Emotional Voice Conversion Using a Hybrid Framework With Speaker-Adaptive DNN and Particle-Swarm-Optimized Neural Network

We propose a hybrid network-based learning framework for speaker-adaptive vocal emotion conversion, tested on three different datasets (languages), namely, EmoDB (German), IITKGP (Telugu), and SAVEE (English). The optimized learning model introduced is unique because of its ability to synthesize emo...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Susmitha Vekkot, Deepa Gupta, Mohammed Zakariah, Yousef Ajami Alotaibi
Format:	Article
Language:	English
Published:	IEEE 2020-01-01
Subjects:	ANN CMOS DNN emotion MCD MGCEP
Online Access:	https://ieeexplore.ieee.org/document/9072171/