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Application of Bhattacharyya kernel-based Centroid Neural Network to the classification of audio signals

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2 Author(s)
Jae-Young Kim ; Department of Information Engineering, Center for Intel. Imaging Sys. Research, Myong Ji University, YongIn, Korea ; Dong-Chul Park

A novel approach for the classification of audio signals using centroid neural network with Bhattacharyya kernel (CNN/BK) is evaluated and reported in this paper. The classifier is based on centroid neural network (CNN) and also exploits advantages of the kernel method for mapping input data into a higher dimensional feature space. Extensive experiments and results on a set of audio data demonstrate that the classification scheme based on CNN/BK outperforms CNN and self-organizing map (SOM) that utilize Euclidean distance for their distance measure in terms of classification accuracy.

Published in:

2009 International Joint Conference on Neural Networks

Date of Conference:

14-19 June 2009