This monograph provides novel insights into cognitive mechanisms
underlying the processing of sound and music in different
environments. A solid understanding of these mechanisms is vital
for numerous technological applications such as for example
information retrieval from distributed musical databases or
building expert systems. In order to investigate the cognitive
mechanisms of music perception fundamentals of hearing
psychophysiology and principles of music perception are presented.
In addition, some computational intelligence methods are reviewed,
such as rough sets, fuzzy logic, artificial neural networks,
decision trees and genetic algorithms. The applications of hybrid
decision systems to problem solving in music and acoustics are
exemplified and discussed on the basis of obtained experimental
results.
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