On speech emotion recognition system in E-learning

被引：0
|
作者：
Yin Chunyong [1 ,2 ]
Sun Ruxia [2 ]
Luo Qi [3 ]
机构：
[1] Guizhou Univ, Dept Comp Sci, Guiyang 550025, Guizhou, Peoples R China
[2] Binzhou Coll, Dept Comp Sci, Binzhou 256600, Peoples R China
[3] Wuhan Univ Sci & Technol, Informat Engn Sch, Wuhan 430223, Hubei, Peoples R China
来源：
PROCEEDINGS OF THE 26TH CHINESE CONTROL CONFERENCE, VOL 4 | 2007年
关键词：
E-learning; emotion deficiency; general regression neural network; modular neural network;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：472 / +
页数：3
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