Perception-Based Data Processing in Acoustics [electronic resource] : Applications to Music Information Retrieval and Psychophysiology / by Bożena Kostek.

By: Kostek, Bożena [author.]Contributor(s): SpringerLink (Online service)Material type: TextTextLanguage: English Series: Studies in Computational Intelligence: 3Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2005Description: XVI, 420 p. Also available online. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783540324010Subject(s): Engineering | Artificial intelligence | Computational linguistics | Psycholinguistics | Acoustics | Engineering mathematics | Consciousness | Engineering | Appl.Mathematics/Computational Methods of Engineering | Artificial Intelligence (incl. Robotics) | Acoustics | Psycholinguistics | Cognitive Psychology | Computational LinguisticsAdditional physical formats: Printed edition:: No titleDDC classification: 519 LOC classification: TA329-348TA640-643Online resources: Click here to access online In: Springer eBooksSummary: 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.
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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.

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