Technical Program

Paper Detail

Paper:AE-P6.8
Session:Audio for Multimedia and Networks
Time:Friday, May 21, 13:00 - 15:00
Presentation: Poster
Topic: Audio and Electroacoustics: Audio for Multimedia
Title: AUDIO CONTENT DESCRIPTION WITH WAVELETS AND NEURAL NETS
Authors: Stephan Rein; Technical University of Berlin 
 Martin Reisslein; Arizona State University 
 Thomas Sikora; Technical University of Berlin 
Abstract: Precision audio content description is one of the key components of next generation internet multimedia search machines. We examine the usability of a combination of 39 different wavelets and three different types of neural nets for precision audio content description. More specifically, we develop a novel wavelet dispersion measure that measures obtained ranks of wavelet coefficients. Our dispersion measure in conjunction with a probabilistic radial basis neural network trained by only threeindependent example sets obtains a success rate of approximately78% in identifying unknown complex classical music movements.
 
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