An emotion space model for recognition of emotions in spoken chinese

Authors:
Xuecheng Jin;Zengfu Wang
Affiliations:
Department of Automation, University of Science and Technology of China, Hefei, Anhui, China;Department of Automation, University of Science and Technology of China, Hefei, Anhui, China
Venue:
ACII'05 Proceedings of the First international conference on Affective Computing and Intelligent Interaction
Year:
2005

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Abstract

This paper presents a conception of emotion space modeling using psychological research for reference. Based on this conception, this paper studies the distribution of the seven emotions in spoken Chinese, including joy, anger, surprise, fear, disgust, sadness and neutral, in the two dimensional space of valence and arousal, and analyses the relationship between the dimensional ratings and the prosodic characteristics in terms of F0 maximum, minimum, range and mean. The findings show that the conception of emotion modeling is helpful to describe and distinguish emotions.