Perception-Based Data Processing in Acoustics: Applications to Music Information Retrieval and Psychophysiology of Hearing (Studies in Computational Intelligence)

Bozena Kostek

ISBN 10: 3642065147 / ISBN 13: 9783642065149

Editore: Springer, 2010

Riguardo questo articolo

reprint edition. 436 pages. 9.00x6.00x1.03 inches. In Stock. Codice articolo 3642065147

Dati bibliografici

Titolo: Perception-Based Data Processing in ...

Casa editrice: Springer

Data di pubblicazione: 2010

Legatura: Paperback

Condizione: Brand New

Descrizione articolo

Riassunto:

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.

Dalla quarta di copertina:

The objective of the monograph is to provide novel insights into cognitive mechanisms underlying 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 underlying 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 in this book and discussed on the basis of obtained experimental results.