CASIA OpenIR  > 09年以前成果
Features importance analysis for emotional speech classification
Tao, JH; Kang, YG; Tao, J; Picard, RW
2005
发表期刊AFFECTIVE COMPUTING AND INTELLIGENT INTERACTION, PROCEEDINGS
卷号3784期号:0页码:449-457
文章类型Article
摘要The paper analyzes the prosody features, which includes the intonation, speaking rate, intensity, based on classified emotional speech. As an important feature of voice quality, voice source are also deduced for analysis. With the analysis results above, the paper creates both a CART model and a weight decay neural network model to find acoustic importance towards the emotional speech classification and to disclose whether there is an underlying consistency between acoustic features and speech emotion. The result shows the proposed method can obtain the importance of each acoustic feature through its weight for emotional speech classification and further improve the emotional speech classification.
关键词Emotionspeech
WOS标题词Science & Technology ; Technology
收录类别SCI ; ISTP
语种英语
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS记录号WOS:000234342700058
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/9124
专题09年以前成果
作者单位Chinese Acad Sci, NLPR, Inst Automat, Beijing 100080, Peoples R China
推荐引用方式
GB/T 7714
Tao, JH,Kang, YG,Tao, J,et al. Features importance analysis for emotional speech classification[J]. AFFECTIVE COMPUTING AND INTELLIGENT INTERACTION, PROCEEDINGS,2005,3784(0):449-457.
APA Tao, JH,Kang, YG,Tao, J,&Picard, RW.(2005).Features importance analysis for emotional speech classification.AFFECTIVE COMPUTING AND INTELLIGENT INTERACTION, PROCEEDINGS,3784(0),449-457.
MLA Tao, JH,et al."Features importance analysis for emotional speech classification".AFFECTIVE COMPUTING AND INTELLIGENT INTERACTION, PROCEEDINGS 3784.0(2005):449-457.
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