 Looking into the minds of Bach, Haydn and Beethoven: Classification and generation of composer-specific musicDorien Herremans, David Martens and Kenneth Sörensen Working Papers from University of Antwerp, Faculty of Business and Economics Abstract: In this paper a number of musical features are extracted from a large music database, which are consequently used to build three composer classification models. The first two models, an if-then ruleset and a decision tree, result in an understanding of the style differences between Bach, Haydn and Beethoven. The third model, a logistic regression model, gives the probability that a piece is composed by a certain composer. This model is integrated in 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 counterpoint music with composer-specific characteristics that sounds pleasing to the ear. This system is implemented as an Android app called FuX that can be installed on any Android phone or tablet. Keywords: Variable Neighborhood Search (VNS); Metaheuristics; Classification; Computer Aided Composition; Music Information Retrieval (MIR) (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ant:wpaper:2014001 Access Statistics for this paper More papers in Working Papers from University of Antwerp, Faculty of Business and Economics Contact information at EDIRC. |
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