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General Information
Editor-in-chief
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2010 Vol.2(3): 319-322 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2010.V2.159

Discrete Wavelet Transforms and Artificial Neural Networks for Speech Emotion Recognition

Firoz Shah. A, Raji Sukumar A. and Babu Anto P.

Abstract—Automatic Emotion Recognition (AER) from speech finds greater significance in better man machine interfaces and robotics. Speech emotion based studies closely related to the databases used for the analysis. We have created and analyzed three emotional speech databases. Discrete Wavelet Transformation (DWT) was used for the feature extraction and Artificial Neural Network (ANN) was used for pattern classification. We can find that recognition accuracies vary with the type of database used. Daubechies type of mother wavelet was used for the experiment. Overall recognition accuracies of 72.05 %, 66.05%, and 71.25% could be obtained for male, female and combined male and female databases respectively.

Index Terms—Automatic Emotion Recognition, Artificial Neural Networks, Affective Computing, Discrete Wavelet Transform

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Cite: Firoz Shah. A, Raji Sukumar A. and Babu Anto P., "Discrete Wavelet Transforms and Artificial Neural Networks for Speech Emotion Recognition," International Journal of Computer Theory and Engineering vol. 2, no. 3, pp. 319-322, 2010.

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