On the relation between rhythm complexity measures and human rhythmic performance

Authors:
Eric Thul;Godfried T. Toussaint
Affiliations:
McGill University, Montréal, Canada;McGill University, Montréal, Canada
Venue:
Proceedings of the 2008 C3S2E conference
Year:
2008

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Abstract

Six measures of musical rhythm complexity were compared experimentally to human difficulty of performance (performance complexity) using two data sets of rhythms, via phylogenetic trees of the rank-correlation coefficient matrices obtained from rankings of the rhythms according to the complexity measures. The results suggest the hypothesis that measures of rhythmic syncopation that are based on a weighted metrical hierarchy, are better predictors of human performance difficulty than measures based on cognitive complexity, weighted distances from onsets to beats, or mathematical irregularity.