On emotion recognition of faces and of speech using neural networks, fuzzy logic and the ASSESS system

被引：0

作者：

Fellenz, WA ^{[1
]}

Taylor, JG ^{[1
]}

Cowie, R ^{[1
]}

Douglas-Cowie, E ^{[1
]}

Piat, F ^{[1
]}

Kollias, S ^{[1
]}

Orovas, C ^{[1
]}

Apolloni, B ^{[1
]}

机构：

[1] Kings Coll London, Dept Math, London WC2R 2LS, England

来源：

IJCNN 2000: PROCEEDINGS OF THE IEEE-INNS-ENNS INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOL II | 2000年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We propose a framework for the processing of face image sequences and speech, using different dynamic techniques to extract appropriate features for emotion recognition. The features will be used by a hybrid classification procedure, employing neural network techniques and fuzzy logic, to accumulate the evidence for the presence of an emotional expression of the face and the speaker's voice.

引用

页码：93 / 98

页数：6

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