Research on speech emotion recognition system in E-Learning

被引：0

作者：

Chen, Ken ^{[1
]}

Yue, Guangxue ^{[2
]}

Yu, Fei ^{[1
,3
]}

Shen, Yue ^{[1
]}

Zhu, Aiqing ^{[4
]}

机构：

[1] Hunan Agr Univ, Sch Comp & Informat Engn, Changsha, Peoples R China

[2] Jiaxing Univ, Coll Informat Engn, Jian, Jiangxi, Peoples R China

[3] Suzhou Univ, Key Lab Comp Informat Proc Technol, Suzhou, Peoples R China

[4] Cent China Normal Univ, Coll Urbanand Environm Sci, Wuhan, Peoples R China

来源：

COMPUTATIONAL SCIENCE - ICCS 2007, PT 3, PROCEEDINGS | 2007年 / 4489卷

关键词：

E-Learning; affective computing; speech emotion; teaching strategies;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

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, we combined affective computing with the traditional E-Learning system. The model of E-Learning system based on affective computing was constructed by using speech emotion, which took speech feature as input data. Our simulation experiment results showed that neural networks was effective in emotion recognition, and we achieve a recognition rate of approximately 50% when testing eight emotions besides, other key techniques of realizing the system such as tracking the change of emotion state and adjusting teaching strategies were also introduced.

引用

页码：555 / +

页数：2

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