Mandarin speech emotion recognition based on high dimensional geometry theory

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	Mandarin speech emotion recognition based on high dimensional geometry theory
	Cao WM (Cao Wenming) ; He TC (He Tiancheng)
刊名	chinese journal of electronics
	2006
卷号	15 期号:4a 页码:818-821
关键词	speech signals high dimensional geometry theory support vector machine (SVM) model speech emotion recognition
ISSN号	1022-4653
通讯作者	cao, wm, shenzhen univ, key lab intelligent proc, shenzhen 518060, peoples r china.
中文摘要	in this paper, a novel approach for mandarin speech emotion recognition, that is mandarin speech emotion recognition based on high dimensional geometry theory, is proposed. the human emotions are classified into 6 archetypal classes: fear, anger, happiness, sadness, surprise and disgust. according to the characteristics of these emotional speech signals, the amplitude, pitch frequency and formant are used as the feature parameters for speech emotion recognition. the new method called high dimensional geometry theory is applied for recognition. compared with traditional gsvm model, the new method has some advantages. it is noted that this method has significant values for researches and applications henceforth.
学科主题	人工智能
收录类别	SCI
语种	英语
公开日期	2010-04-11
内容类型	期刊论文
源URL	[http://ir.semi.ac.cn/handle/172111/10284]
专题	半导体研究所_中国科学院半导体研究所（2009年前）
推荐引用方式 GB/T 7714	Cao WM ,He TC . Mandarin speech emotion recognition based on high dimensional geometry theory[J]. chinese journal of electronics,2006,15(4a):818-821.
APA	Cao WM ,&He TC .(2006).Mandarin speech emotion recognition based on high dimensional geometry theory.chinese journal of electronics,15(4a),818-821.
MLA	Cao WM ,et al."Mandarin speech emotion recognition based on high dimensional geometry theory".chinese journal of electronics 15.4a(2006):818-821.