中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Mandarin speech emotion recognition based on high dimensional geometry theory

文献类型:期刊论文

作者Cao WM (Cao Wenming) ; He TC (He Tiancheng)
刊名chinese journal of electronics
出版日期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
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.

入库方式: OAI收割

来源:半导体研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。