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Audio Content Description with Wavelets and Neural Nets
Citation key 0785Rein2004
Author Stephan Rein and Martin Reisslein and Thomas Sikora
Title of Book IEEE ICASSP 2004
Year 2004
Address Montreal, Canada
Month may
Note Martin Reisslein: Arizona State University
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 three independent example sets obtains a success rate of approximately 78% in identifying unknown complex classical music movements.
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