Analyze multiple emotional expressions in a sentence

Authors:
Jun-Heng Yeh;Tsang-Long Pao;Ren-Chi Tsao;Ren-Fu Luo
Affiliations:
Department of Computer Science and Engineering, Tatung University, Taipei, Taiwan;Department of Computer Science and Engineering, Tatung University, Taipei, Taiwan;Department of Computer Science and Engineering, Tatung University, Taipei, Taiwan;Department of Computer Science and Engineering, Tatung University, Taipei, Taiwan
Venue:
ICIC'10 Proceedings of the Advanced intelligent computing theories and applications, and 6th international conference on Intelligent computing
Year:
2010

Citing 5
Cited 0

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Computers in Human Behavior

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Abstract

In this paper, we present an emotion recognition approach that can analyze multiple emotional expressions form Mandarin Chinese speech. In this proposed approach, 14 basic and derived emotional categories can be recognized and quantified as the relative components. A large emotional corpus containing 19,136 sentences with 14 emotional expressions were recorded by 34 voice actors. And 979,787 labels of emotional categories were annotated by 37 annotators. We then implemented a Mandarin Chinese speech emotion recognition system with a polygon chart based on WD-KNN classifier. This proposed approach shows how emotions can be recognized by speech signals, and in turn how emotional states can be visualized.