Perception-Based Data Processing in Acoustics : Applications to Music Information Retrieval and Psychophysiology /
By: Kostek, Bożena [author.].
Contributor(s): SpringerLink (Online service).
Material type:
BookSeries: Studies in Computational Intelligence: 3Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2005.Description: XVI, 420 p. 154 illus., 8 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540324010.Subject(s): Computer science | Computers | Artificial intelligence | Psycholinguistics | Acoustics | Applied mathematics | Engineering mathematics | Cognitive psychology | Computer Science | Theory of Computation | Appl.Mathematics/Computational Methods of Engineering | Artificial Intelligence (incl. Robotics) | Acoustics | Psycholinguistics | Cognitive PsychologyDDC classification: 004.0151 Online 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.
| Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
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E books
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PK Kelkar Library, IIT Kanpur | Available | EBK7669 |
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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