Hedges, T., Roy, P. and Pachet, F. Predicting the Composer and Style of Jazz Chord Progressions. Journal of New Music Research, Special issue on Music and Machine Learning, 43(3):276-290, 2014.

Sony CSL authors: Thomas Hedges, François Pachet, Pierre Roy

Abstract

Jazz music is a genre that consists mainly of improvising over known tunes, represented as a lead sheet. This study addresses the question ‘to what extent does a lead sheet carry information about its composer?’ Primarily, this study considers chord progressions alone, and secondarily melodic and temporal information combined with various multiple viewpoint models. Using these classifiers, a novel subsequence selection algorithm is presented to trace stylistic similarities within a lead sheet. We conclude that composers can, to a reasonable extent, be recognized from their chord progressions, and that the consideration of melodic and temporal information improves classification accuracy by a small but statistically significant amount.

Keywords: jazz, leadsheets, style

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BibTeX entry

@ARTICLE { hedges:14a, AUTHOR="Hedges, T. and Roy, P. and Pachet, F.", JOURNAL="Journal of New Music Research, Special issue on Music and Machine Learning", NUMBER="3", PAGES="276--290", TITLE="Predicting the Composer and Style of Jazz Chord Progressions", VOLUME="43", YEAR="2014", }