@article {RePEc:ant:wpaper:2014001,
	title = {Looking into the minds of Bach, Haydn and Beethoven: Classification and generation of composer-specific music},
	number = {2014001},
	year = {2014},
	institution = {University of Antwerp, Faculty of Applied Economics},
	type = {Technical Report 2014:001- UA, Faculty of Applied 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 = {Classification, Computer Aided Composition, Metaheuristics, Variable Neighborhood Search (VNS)},
	url = {http://ideas.repec.org/p/ant/wpaper/2014001.html},
	author = {D. Herremans and David Martens and K. S{\"o}rensen}
}
