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Title
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Classification and generation of composer-specific music using global feature models and variable neighborhood search
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Author
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Abstract
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| 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. |
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Language
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English
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Source (journal)
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Computer music journal. - Cambridge, Mass., 1977, currens
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Publication
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Cambridge, Mass.
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2015
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ISSN
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0148-9267
[print]
1531-5169
[online]
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DOI
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10.1162/COMJ_A_00316
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Volume/pages
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39
:3
(2015)
, p. 71-91
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ISI
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000361183900005
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Full text (Publisher's DOI)
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Full text (open access)
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