PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Probabilistic Melodic Harmonization
Jean-Francois Paiement, Douglas Eck and Samy Bengio
Proceedings of the 19th Canadian Conference on Artificial Intelligence 2006.

Abstract

We propose a representation for musical chords that allows us to include domain knowledge in probabilistic models. We then introduce a graphical model for harmonization of melodies that considers every structural components in chord notation. We show empirically that root notes progressions exhibit global dependencies that can be better captured with a tree structure related to the meter than with a simple dynamical HMM that concentrates on local dependencies. However, a local model seems to be sufficient for generating proper harmonizations when root notes progressions are provided. The trained probabilistic models can be sampled to generate very interesting chord progressions given other polyphonic music components such as melody or root note progressions.

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EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Information Retrieval & Textual Information Access
ID Code:2515
Deposited By:Jean-Francois Paiement
Deposited On:22 November 2006