DocumentCode :
1639117
Title :
On Speech Emotion Recognition System in E-learning
Author :
Chunyong, Yin ; Ruxia, Sun ; Qi, Luo
Author_Institution :
Guizhou Univ., Guiyang
fYear :
2007
Firstpage :
472
Lastpage :
475
Abstract :
Aiming at emotion deficiency in present e-learning system, a lot of negative effects were analyzed and corresponding countermeasures were proposed. Basing on it, speech emotion recognition system is proposed in the paper. Then we introduce a systematic feature selection approach, which involves the application of sequential forward selection with a general regression neural network in conjunction with a consistency-based selection method. The selected features are employed as the input to a modular neural network to realize the classification of emotions. Our simulation experiment results show that the proposed system gives high recognition performance.
Keywords :
computer aided instruction; emotion recognition; neural nets; speech recognition; consistency-based selection method; e-learning; emotion classification; general regression neural network; modular neural network; sequential forward selection; speech emotion recognition system; systematic feature selection approach; Computer science; Control systems; Distance learning; Education; Electronic learning; Emotion recognition; Information technology; Neural networks; Speech; Sun; E-learning; Emotion deficiency; General Regression Neural Network; Modular Neural Network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference, 2007. CCC 2007. Chinese
Conference_Location :
Hunan
Print_ISBN :
978-7-81124-055-9
Electronic_ISBN :
978-7-900719-22-5
Type :
conf
DOI :
10.1109/CHICC.2006.4346832
Filename :
4346832
Link To Document :
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