Emotional speech synthesis by XML file using interactive genetic algorithms

Authors:
Siliang Lv;Shangfei Wang;Xufa Wang
Affiliations:
Department of Computer Science and Technology, Key Laboratory of Software in Computing and Communication in Anhui, USTC, Hefei, China;Department of Computer Science and Technology, Key Laboratory of Software in Computing and Communication in Anhui, USTC, Hefei, China;Department of Computer Science and Technology, Key Laboratory of Software in Computing and Communication in Anhui, USTC, Hefei, China
Venue:
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation
Year:
2009

Citing 6
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Abstract

As a technique that can "let computer speak", speech synthesis is drawing more and more attention. Today, much speech synthesis software can synthesize neutral speech naturally and knowingly. However, it is hard to make computers speak with "emotion" as that in our daily life, because of the complexity of emotion model. Interactive Genetic Algorithms which can be acted self-organizingly, adaptively and self-learningly can just resolve the problem of difficulty in modeling emotional speech synthesis. As a result, this paper designs an emotional speech synthesis process, which adjusts the parameters (XML-tags) used to synthesize emotional speech dynamically, using interactive Genetic Algorithms, to optimize the quality of emotional speech. Also, the paper includes an evaluation experiment, which proves the feasibility of the algorithms.