QIN Yu-Jiang, ZHANG Xue-Yang
This paper presents a conception of emotion space modeling using psychological research for reference. Based on this conception, this paper studies the Valence-Arousal-Power(VAP) distribution of the seven emotions for speech emotional recognition, including joy, anger, surprise, fear, disgust, sadness and neutral, in the three dimensional space of VAP, and analyses the relationship between the dimensional ratings and the Zero Crossings with Peak Amplitudes(ZCPA) prosodic characteristics in terms of maximum, minimum, mean and absolute square difference sum of ZCPA. Experimental results show that the conception of emotion modeling is helpful to describe and distinguish speech emotions.