Publication
Title
Classification and generation of composer-specific music using global feature models and variable neighborhood search
Author
Abstract
In this article a number of musical features are extracted from a large musical database and these were subsequently used to build four composer-classification models. The first two models, an if-then rule set and a decision tree, result in an understanding of stylistic differences between Bach, Haydn, and Beethoven. The other two models, a logistic regression model and a support vector machine classifier, are more accurate. The probability of a piece being composed by a certain composer given by the logistic regression model is integrated into the objective function of a previously developed variable neighborhood search algorithm that can generate counterpoint. The result is a system that can generate an endless stream of contrapuntal music with composer-specific characteristics that sounds pleasing to the ear. This system is implemented as an Android app called FuX.
Language
English
Source (journal)
Computer music journal. - Cambridge, Mass.
Publication
Cambridge, Mass. : 2015
ISSN
0148-9267
Volume/pages
39:3(2015), p. 71-91
ISI
000361183900005
Full text (Publisher's DOI)
Full text (open access)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Art 
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 05.10.2015
Last edited 19.06.2017
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