Features importance analysis for emotional speech classification

	Features importance analysis for emotional speech classification
	Tao, JH; Kang, YG; Tao, J; Picard, RW
刊名	AFFECTIVE COMPUTING AND INTELLIGENT INTERACTION, PROCEEDINGS
	2005
卷号	3784 页码:449-457
英文摘要	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.
WOS标题词	Science & Technology ; Technology
类目[WOS]	Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods
研究领域[WOS]	Computer Science
收录类别	ISTP ; SCI
语种	英语
WOS记录号	WOS:000234342700058
公开日期	2015-12-24
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/9124]
专题	自动化研究所_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,2005,3784:449-457.
APA	Tao, JH,Kang, YG,Tao, J,&Picard, RW.(2005).Features importance analysis for emotional speech classification.AFFECTIVE COMPUTING AND INTELLIGENT INTERACTION, PROCEEDINGS,3784,449-457.
MLA	Tao, JH,et al."Features importance analysis for emotional speech classification".AFFECTIVE COMPUTING AND INTELLIGENT INTERACTION, PROCEEDINGS 3784(2005):449-457.