Probabilistic-logical modeling of music

Authors:
Jon Sneyers;Joost Vennekens;Danny De Schreye
Affiliations:
Department of Computer Science, K.U.Leuven, Heverlee, Belgium;Department of Computer Science, K.U.Leuven, Heverlee, Belgium;Department of Computer Science, K.U.Leuven, Heverlee, Belgium
Venue:
PADL'06 Proceedings of the 8th international conference on Practical Aspects of Declarative Languages
Year:
2006

Citing 4
Cited 1

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Abstract

PRISM is a probabilistic-logical programming language based on Prolog. We present a PRISM-implementation of a general model for polyphonic music, based on Hidden Markov Models. Its probability parameters are automatically learned by running the built-in EM-algorithm of PRISM on training examples. We show how the model can be used as a classifier for music that guesses the composer of unknown fragments of music. Then we use it to automatically compose new music.