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 [BibTeX] [Marc21]
A Graphical Model for Chord Progressions Embedded in a Psychoacoustic Space
Type of publication: Idiap-RR
Citation: paiement05a
Number: Idiap-RR-33-2005
Year: 2005
Institution: IDIAP Research Institute
Note: Published in Proceedings of the 22nd International Conference on Machine Learning
Abstract: Chord progressions are the building blocks from which tonal music is constructed. Inferring chord progressions is thus an essential step towards modeling long term dependencies in music. In this paper, a distributed representation for chords is designed such that Euclidean distances roughly correspond to psychoacoustic dissimilarities. Parameters in the graphical models are learnt with the EM algorithm and the classical Junction Tree algorithm. Various model architectures are compared in terms of conditional out-of-sample likelihood. Both perceptual and statistical evidence show that binary trees related to meter are well suited to capture chord dependencies.
Userfields: ipdmembership={learning},
Projects Idiap
Authors Paiement, Jean-Fran├žois
Eck, Douglas
Bengio, Samy
Barber, David
Crossref by paiement05art
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