Automatic recognition of piano music compositional styles

Authors:
Giovanni Costantini;Daniele Casali;Massimo Carota
Affiliations:
Department of Electronic Engineering, University of Rome "Tor Vergata", Rome, Italy;Department of Electronic Engineering, University of Rome "Tor Vergata", Rome, Italy;Department of Electronic Engineering, University of Rome "Tor Vergata", Rome, Italy
Venue:
ICS'06 Proceedings of the 10th WSEAS international conference on Systems
Year:
2006

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Abstract

In this paper, we present a system for automatic recognition of piano music compositional styles. It is based on a classifier that takes as input a set of MIDI files containing music pieces composed by Bach, Mozart, Beethoven and Debussy. Several features are extracted from MIDI data: the number of times each degree of the tempered scale is repeated in the whole piece, the interval between a note and the preceding one, and finally a feature based on the Forti's representation of chords. Each piece of a training set is associated with the corresponding author. After a learning phase, the classifier is able to recognize the author of an unknown piece, by analyzing and classifying the feature set extracted from the unknown piece.