DocumentCode
3179275
Title
Towards robust speech-based emotion recognition
Author
Tabatabaei, Talieh S. ; Krishnan, Sridhar
Author_Institution
Electr. Eng. Dept., Ryerson Univ., Toronto, ON, Canada
fYear
2010
fDate
10-13 Oct. 2010
Firstpage
608
Lastpage
611
Abstract
Maintaining the robustness of a speech processing system in the presence of noise is a challenge. This paper shows frequency subband architecture can improve robustness of an emotion recognition system when signals are corrupted by selective noise. This paper also demonstrates that feature selection based on some mutual-information criterion (maximum-relevant minimum-redundancy) can give us the most effective subset of features to get a better result.
Keywords
emotion recognition; speech recognition; support vector machines; frequency subband architecture; maximum-relevant minimum-redundancy criterion; mutual-information criterion; selective noise; speech processing system; speech-based emotion recognition; Emotion recognition; Radio access networks; Robustness; Automatic emotion recognition; frequency subband; human-machine interaction; mutual information; support vector machines;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on
Conference_Location
Istanbul
ISSN
1062-922X
Print_ISBN
978-1-4244-6586-6
Type
conf
DOI
10.1109/ICSMC.2010.5641815
Filename
5641815
Link To Document