conference paper

Conference/ProceedingsIEEE ICASSP 2004
Start dateMay 2004
AddressMontreal, Canada
Author(s)Stephan Rein, Martin Reisslein, Thomas Sikora
TitleAudio Content Description with Wavelets and Neural Nets
AbstractPrecision 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.
NoteMartin Reisslein: Arizona State University