Perception-Based Data Processing in Acoustics : Applications to Music Information Retrieval and Psychophysiology of Hearing

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 distribu...

תיאור מלא

שמור ב:
מידע ביבליוגרפי
מחבר ראשי: Kostek, Bozena
פורמט: Livre numérique
שפה:Anglais
יצא לאור: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
מהדורה:1st ed. 2005.
סדרה:Studies in Computational Intelligence 3
גישה מקוונת:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
הערה: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Perception-Based Data Processing in Acoustics, Texte imprimé, 9783540810308
• Perception-Based Data Processing in Acoustics, Texte imprimé, 9783642065149
• Perception-based data processing in acoustics, applications to music information retrieval and psychophysiology of hearing, B ozena Kostek, Berlin, Springer, 2005, 1 vol. (xvi, 420 p.), Studies in computational intelligence, 3-540-25729-2
• Perception-Based Data Processing in Acoustics, Texte imprimé, 9783540810308
• Perception-Based Data Processing in Acoustics, Texte imprimé, 9783642065149
• Perception-based data processing in acoustics, applications to music information retrieval and psychophysiology of hearing, B ozena Kostek, Berlin, Springer, 2005, 1 vol. (xvi, 420 p.), Studies in computational intelligence, 3-540-25729-2
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520 |a 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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