Emotion recognition using multilayer perceptron and generalized feed forward neural network

被引：0
|
作者：
Khanchandani, K. B. [1 ]
Hussain, Moiz A. [1 ]
机构：
[1] SSGM Coll Engn, Elect & Telecommun Dept, Shegaon 444203, India
来源：
JOURNAL OF SCIENTIFIC & INDUSTRIAL RESEARCH | 2009年 / 68卷 / 05期
关键词：
Berlin Emotional Speech Database; Emotion recognition; Generalized feed forward neural network (GFFNN); Machine intelligence; Multilayer perceptron neural network (MLPNN);
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
This paper explores performance analysis of multilayer perceptron neural network (MLPNN) and generalized feed forward neural network (GFFNN) for detection of 7 human emotions (neutral, anger, boredom, disgust, fear, happiness, sadness) using speech signals. Overall accuracy was found as follows: MLPNN, 93%; and GFFNN, 99%.s
引用
收藏
页码：367 / 371
页数：5
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