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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 ; Dept. of Inf. Eng., Myong Ji Univ., Yongin, South 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:

Neural Networks, 2009. IJCNN 2009. International Joint Conference on

Date of Conference:

14-19 June 2009