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题名: Mandarin speech emotion recognition based on high dimensional geometry theory
作者: Cao WM (Cao Wenming);  He TC (He Tiancheng)
发表日期: 2006
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.
刊名: CHINESE JOURNAL OF ELECTRONICS
专题: 中国科学院半导体研究所(2009年前)_期刊论文

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Cao WM (Cao Wenming); He TC (He Tiancheng) .Mandarin speech emotion recognition based on high dimensional geometry theory ,CHINESE JOURNAL OF ELECTRONICS,2006,15(4A):818-821
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