Automatic recognition of piano music compositional styles

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.