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

Published by Springer, 2010

About this Item

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

Seller Inventory # 3642065147

Bibliographic Details

• Title: Perception-Based Data Processing in Acoustics: Applications to Music Information Retrieval and Psychophysiology of Hearing (Studies in Computational Intelligence)
• Publisher: Springer
• Publication Date: 2010
• Language: English
• ISBN 10: 3642065147
• ISBN 13: 9783642065149
• Binding: Paperback
• Condition: Brand New

About this title

Synopsis

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.

From the Back Cover

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.