A Computational Framework for Sound Segregation in Music Signals: An Auditory Scene Analysis Approach for Modeling Perceptual Grouping in Music Listening - Couverture souple

Martins, Luís Gustavo

 
9783838320915: A Computational Framework for Sound Segregation in Music Signals: An Auditory Scene Analysis Approach for Modeling Perceptual Grouping in Music Listening
Couverture souple
ISBN 10 : 3838320913 ISBN 13 : 9783838320915
Editeur : LAP Lambert Academic Publishing, 2009

Synopsis

Music is built from sound, ultimately resulting from an elaborate interaction between the sound-generating properties of physical objects (i.e. music instruments) and the sound perception abilities of the human auditory system. Humans, even without any kind of formal music training, are typically able to extract, almost unconsciously, a great amount of relevant information from a musical signal (e.g. the beat and main melody of a musical piece, or the sound sources playing in a complex musical arrangement). In order to do so, the human auditory system uses a variety of cues for perceptual grouping such as similarity, proximity, harmonicity, common fate, among others. This book proposes a flexible and extensible Computational Auditory Scene Analysis (CASA) framework for modeling perceptual grouping in music listening. Implemented using the open source sound processing framework Marsyas, this work should be specially interesting to researchers in Music Information Retrieval (MIR) and CASA fields, or anyone developing software to perform automatic analysis and processing of sound and music signals.

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Éditeur
LAP Lambert Academic Publishing
Date d'édition
2009
Langue
anglais
ISBN 10 
3838320913
ISBN 13 
9783838320915
Reliure
Broché
Nombre de pages
248
Coordonnées du fabricant
non disponible
Personne responsable
non disponible