Title :
A multiple perception model on emotional speech
Author :
Tao, Jianhua ; Li, Ya ; Pan, Shifeng
Author_Institution :
NLPR, Chinese Acad. of Sci., Beijing, China
Abstract :
More and more efforts have been made for the research of emotional speech recently. Although we may, sometimes be able to make a definite perceptual decision on emotion state, emotion is actually a kind of cline in a large vector space. Different emotions can be thought of as zones along an emotional vector. To resolve the ambiguity of emotion perception, the authors make an array of perception experiments. Furthermore, the paper creates a statistical model to simulate emotion perception and finds that there is an underlying consistency in the patterns of responses. The results show important cues on how to do multiple perception of the emotional speech.
Keywords :
emotion recognition; speech processing; statistical analysis; vectors; emotion perception; emotion state; emotional speech; emotional vector; multiple perception model; perceptual decision; statistical model; vector space; Automation; Classification algorithms; Emotion recognition; Kernel; Maximum likelihood detection; Mood; Multilayer perceptrons; Neural networks; Probability distribution; Speech recognition;
Conference_Titel :
Affective Computing and Intelligent Interaction and Workshops, 2009. ACII 2009. 3rd International Conference on
Conference_Location :
Amsterdam
Print_ISBN :
978-1-4244-4800-5
Electronic_ISBN :
978-1-4244-4799-2
DOI :
10.1109/ACII.2009.5349497