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Features importance analysis for emotional speech classification
Tao, JH; Kang, YG; Tao, J; Picard, RW
Source PublicationAFFECTIVE COMPUTING AND INTELLIGENT INTERACTION, PROCEEDINGS
2005
Volume3784Issue:0Pages:449-457
SubtypeArticle
AbstractThe 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.
KeywordEmotionspeech
WOS HeadingsScience & Technology ; Technology
Indexed BySCI ; ISTP
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS IDWOS:000234342700058
Citation statistics
Cited Times:10[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9124
Collection09年以前成果
AffiliationChinese Acad Sci, NLPR, Inst Automat, Beijing 100080, Peoples R China
Recommended Citation
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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