Perception-Based Data Processing in Acoustics
Applications to Music Information Retrieval and Psychophysiology of Hearing
Authors: Kostek, Bozena
Free PreviewBuy this book
- About this book
-
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.
- Table of contents (7 chapters)
-
-
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
-
Table of contents (7 chapters)
Recommended for you

Bibliographic Information
- Bibliographic Information
-
- Book Title
- Perception-Based Data Processing in Acoustics
- Book Subtitle
- Applications to Music Information Retrieval and Psychophysiology of Hearing
- Authors
-
- Bozena Kostek
- Series Title
- Studies in Computational Intelligence
- Series Volume
- 3
- Copyright
- 2005
- Publisher
- Springer-Verlag Berlin Heidelberg
- Copyright Holder
- Springer-Verlag Berlin Heidelberg
- eBook ISBN
- 978-3-540-32401-0
- DOI
- 10.1007/b135397
- Hardcover ISBN
- 978-3-540-25729-5
- Softcover ISBN
- 978-3-642-06514-9
- Series ISSN
- 1860-949X
- Edition Number
- 1
- Number of Pages
- XVI, 420
- Number of Illustrations
- 146 b/w illustrations, 8 illustrations in colour
- Topics