Ebook: Perception-Based Data Processing in Acoustics: Applications to Music Information Retrieval and Psychophysiology
Author: Professor Bożena Kostek (auth.)
- Tags: Appl.Mathematics/Computational Methods of Engineering, Artificial Intelligence (incl. Robotics), Acoustics, Psycholinguistics, Cognitive Psychology, Computational Linguistics
- Series: Studies in Computational Intelligence 3
- Year: 2005
- Publisher: Springer-Verlag Berlin Heidelberg
- Edition: 1
- Language: English
- pdf
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.
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.
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.
Content:
Front Matter....Pages -
INTRODUCTION....Pages 1-5
PERCEPTUAL BASES OF HEARING AND MUSIC PERCEPTION....Pages 7-37
INTELLIGENT MUSICAL INSTRUMENT SOUND CLASSIFICATION....Pages 39-186
COGNITIVE APPROACH TO MUSICAL DATA ANALYSIS....Pages 187-313
COGNITIVE PROCESSING IN ACOUSTICS....Pages 315-388
SYNESTHETIC ANALYSIS OF AUDIO-VISUAL DATA....Pages 389-417
CONCLUDING REMARKS....Pages 419-420
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.
Content:
Front Matter....Pages -
INTRODUCTION....Pages 1-5
PERCEPTUAL BASES OF HEARING AND MUSIC PERCEPTION....Pages 7-37
INTELLIGENT MUSICAL INSTRUMENT SOUND CLASSIFICATION....Pages 39-186
COGNITIVE APPROACH TO MUSICAL DATA ANALYSIS....Pages 187-313
COGNITIVE PROCESSING IN ACOUSTICS....Pages 315-388
SYNESTHETIC ANALYSIS OF AUDIO-VISUAL DATA....Pages 389-417
CONCLUDING REMARKS....Pages 419-420
....