ABSTRACT:
Computational methods for the analysis and generation of rhythm timelines are described. Mathematical measures of rhythm preference are compared. Several methods for representing rhythm, and for measuring rhythm similarity, are reviewed. Tools from bioinformatics are used to perform phylogenetic analyses of families of rhythms that are common in African and Afro-American music. Several computational open problems related to the problems mentioned above as well as the "reconstruction of "ancestral" rhythms are outlined.
About Godfried Toussaint:
Godfried Toussaint's primary research interests are in the design and analysis of algorithms for solving geometric problems that arise in pattern recognition, music information retrieval, computational music theory, computer vision, visualization, computer graphics, computer-aided design, automated manufacturing, knot theory, polymer physics, and computational biology. He has been a professor in McGill University's School of Computer Science since 1972.