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Acoustic Modeling for Emotion RecognitionComparative Analysis of Classifiers in Emotion Recognition

Acoustic Modeling for Emotion Recognition: Comparative Analysis of Classifiers in Emotion... [In this work the emotion recognition performance is determined by each classifier LDA, RDA, SVM and KNN for each database. A comparative analysis is done elaborately for all these classifiers as well as for databases.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Acoustic Modeling for Emotion RecognitionComparative Analysis of Classifiers in Emotion Recognition

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Publisher
Springer International Publishing
Copyright
© The Author(s) - SpringerBriefs 2015
ISBN
978-3-319-15529-6
Pages
55 –60
DOI
10.1007/978-3-319-15530-2_7
Publisher site
See Chapter on Publisher Site

Abstract

[In this work the emotion recognition performance is determined by each classifier LDA, RDA, SVM and KNN for each database. A comparative analysis is done elaborately for all these classifiers as well as for databases.]

Published: Mar 15, 2015

Keywords: Emotion Recognition; Recognition Accuracy; Area Under Curve; Speech Sample; Feature Fusion

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