An approach to classifying four-part music in multidimensional space
Gregory Doerfler; Robert Beck Department of Computing Sciences, Villanova University, Villanova, PA, USA
Abstract
Four-part classifier (FPC) is a system for classifying four-part music based on the known classifications of training pieces. Classification is performed using metrics that consider both chord structure and chord movement and techniques that score the metrics in different ways. While in principle classifiers are free to be anything of musical interest, this paper focuses on classification by composer.
FPC was trained with music from three composers—J.S. Bach, John Bacchus Dykes, and Henry Thomas Smart—and then tasked with classifying test pieces written ...
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