Reduced Feature Set for Emotion Based Spoken Utterances of Normal and Special Children Using Multivariate Analysis and Decision Trees

Reduced Feature Set for Emotion Based Spoken Utterances of Normal and Special Children Using Multivariate Analysis and Decision Trees

The current paper deals with the use of multivariate data analysis and decision tree methods in order to reduce the feature set for the normal and special children speech in four different emotions: anger, happiness, neutral and sadness. Ten features were extracted, by an algorithm implemented in a...

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Bibliographic Details
Main Authors: M. A. Siddiqui, S. A. Ali, N. G. Haider
Format: Article
Language:English
Published: D. G. Pylarinos 2018-08-01
Series:Engineering, Technology & Applied Science Research
Subjects:
speech emotions
PCA
factor analysis
decision tree
features
Online Access:http://etasr.com/index.php/ETASR/article/view/2177

Internet

http://etasr.com/index.php/ETASR/article/view/2177

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