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Study on speech emotion recognition system in E-learning

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成果类型:
期刊论文、会议论文
作者:
Zhu, Aiqin*;Luo, Qi
通讯作者:
Zhu, Aiqin
作者机构:
[Zhu, Aiqin] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Hubei, Peoples R China.
[Luo, Qi] Wuhan Univ Sci & Technol, Wuhan 430223, Hubei, Peoples R China.
通讯机构:
[Zhu, Aiqin] C
Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Hubei, Peoples R China.
语种:
英文
关键词:
E-Learning;SFS;GRNN;MNN;affective computing
期刊:
Lecture Notes in Computer Science
ISSN:
0302-9743
年:
2015
卷:
4552
期:
PART 3
页码:
544-552
会议名称:
Human-computer interaction.
会议论文集名称:
Human-computer interaction.
会议时间:
2007
会议地点:
Beijing, China
基金类别:
Natural Science Foundation of Wuhan University of Science and Technology Zhongnan Branch
机构署名:
本校为第一且通讯机构
院系归属:
城市与环境科学学院
摘要:
Aiming at emotion deficiency in present E-Learning system, speech emotion recognition system is proposed in the paper. A corpus of emotional speech from various subjects, speaking different languages is collected for developing and testing the feasibility of the system. The potential prosodic features are first identified and extracted from the speech data. Then we introduce a systematic feature selection approach which involves the application of Sequential Forward Selection (SFS) with a General Regression Neural Network (GRNN) in conjunction with a consistency-based selection method. The sel...

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