DocumentCode
2625316
Title
Speech emotion recognition based on re-composition of two-class classifiers
Author
Huang, Chengwei ; Jin, Yun ; Zhao, Yan ; Yu, Yinhua ; Zhao, Li
Author_Institution
Southeast Univ., Nanjing, China
fYear
2009
fDate
10-12 Sept. 2009
Firstpage
1
Lastpage
3
Abstract
A method of using two-class classifiers in emotion recognition was discussed. Emotion classes were divided into pairs for improved feature selection and optimization. Each pair of emotions was classified by a two-class classifier and the final recognition result was reached by a correlation decoder. Compared with n-class classifier, using two-class classifiers for each pair of emotions is more suitable for multiple emotions classification.
Keywords
emotion recognition; pattern classification; speech recognition; correlation decoder; emotion classes; feature optimization; feature selection; multiple emotions classification; n-class classifier; speech emotion recognition; two-class classifiers; Decoding; Emotion recognition; Error analysis; Humans; Speech;
fLanguage
English
Publisher
ieee
Conference_Titel
Affective Computing and Intelligent Interaction and Workshops, 2009. ACII 2009. 3rd International Conference on
Conference_Location
Amsterdam
Print_ISBN
978-1-4244-4800-5
Electronic_ISBN
978-1-4244-4799-2
Type
conf
DOI
10.1109/ACII.2009.5349420
Filename
5349420
Link To Document