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. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Jin, X., & Wang, Z. (2005). An emotion space model for recognition of emotions in spoken Chinese. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3784 LNCS, pp. 397–402). https://doi.org/10.1007/11573548_51
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