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Studies in Computational Intelligence #3: Perception-Based Data Processing in Acoustics: Applications to Music Information Retrieval and Psychophysiology of Hearing

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Studies in Computational Intelligence #3: Perception-Based Data Processing in Acoustics: Applications to Music Information Retrieval and Psychophysiology of Hearing Cover

 

Synopses & Reviews

Publisher Comments:

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.

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.

Product Details

ISBN:
9783642065149
Author:
Kostek, Bozena
Publisher:
Springer
Subject:
Applied
Subject:
Acoustics
Subject:
Hearing
Subject:
Linguistics
Subject:
Music Information Retrieval
Subject:
Perception
Subject:
Appl.Mathematics/Computational Methods of Engineering
Subject:
Artificial Intelligence (incl. Robotics)
Subject:
Psycholinguistics
Subject:
Cognitive Psychology
Subject:
Computational Linguistics <P>Provides novel insights into cognitive mechanisms underlying the processing of sound and music</P> <P>Presents fundamentals of hearing psychophysiology and principles of music perception</P>
Subject:
Mathematics-Applied
Subject:
Computational linguistics
Copyright:
Edition Description:
Softcover reprint of hardcover 1st ed. 2005
Series:
Studies in Computational Intelligence
Series Volume:
3
Publication Date:
20101125
Binding:
TRADE PAPER
Language:
English
Pages:
436
Dimensions:
235 x 155 mm 656 gr

Related Subjects

» Computers and Internet » Artificial Intelligence » General
» Computers and Internet » Computers Reference » General
» History and Social Science » Linguistics » General
» Science and Mathematics » Mathematics » Applied

Studies in Computational Intelligence #3: Perception-Based Data Processing in Acoustics: Applications to Music Information Retrieval and Psychophysiology of Hearing New Trade Paper
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Product details 436 pages Springer - English 9783642065149 Reviews:
"Synopsis" by , 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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