Perception-Based Data Processing in Acoustics
Kostek, Bożena.
Perception-Based Data Processing in Acoustics Applications to Music Information Retrieval and Psychophysiology / [electronic resource] : by Bożena Kostek. - XVI, 420 p. Also available online. online resource. - Studies in Computational Intelligence, 3 1860-949X ; . - Studies in Computational Intelligence, 3 .
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.
9783540324010
10.1007/b135397 doi
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 Linguistics.
TA329-348 TA640-643
519
Perception-Based Data Processing in Acoustics Applications to Music Information Retrieval and Psychophysiology / [electronic resource] : by Bożena Kostek. - XVI, 420 p. Also available online. online resource. - Studies in Computational Intelligence, 3 1860-949X ; . - Studies in Computational Intelligence, 3 .
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.
9783540324010
10.1007/b135397 doi
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 Linguistics.
TA329-348 TA640-643
519