Emotion-State conversion for speaker recognition

Authors:
Dongdong Li;Yingchun Yang;Zhaohi Wu;Tian Wu
Affiliations:
Department of Computer Science and Technology, Zhejiang University, Hangzhou, P.R. China;Department of Computer Science and Technology, Zhejiang University, Hangzhou, P.R. China;Department of Computer Science and Technology, Zhejiang University, Hangzhou, P.R. China;Department of Computer Science and Technology, Zhejiang University, Hangzhou, P.R. China
Venue:
ACII'05 Proceedings of the First international conference on Affective Computing and Intelligent Interaction
Year:
2005

Citing 1
Cited 2

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Identifying speakers using their emotion cues

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Employing both gender and emotion cues to enhance speaker identification performance in emotional talking environments

International Journal of Speech Technology

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Abstract

The performance of speaker recognition system is easily disturbed by the changes of the internal states of human. The ongoing work proposes an approach of speech emotion-state conversion to improve the performance of speaker identification system over various affective speech. The features of neutral speech are modified according to statistical prosodic parameters of emotion utterances. Speaker models are generated based on the converted speech. The experiments conducted on an emotion corpus with 14 emotion states shows promising results with an improved performance by 7.2%.