A hybrid graphical model for rhythmic parsing

Citations of this article
Mendeley users who have this article in their library.


A method is presented for the rhythmic parsing problem: Given a sequence of observed musical note onset times, we simultaneously estimate the corresponding notated rhythm and tempo process. A graphical model is developed that represents the evolution of tempo and rhythm and relates these hidden quantities to an observable performance. The rhythm variables are discrete and the tempo and observation variables are continuous. We show how to compute the globally most likely configuration of the tempo and rhythm variables given an observation of note onset times. Experiments are presented on both MIDI data and a data set derived from an audio signal. A generalization to computing MAP estimates for arbitrary conditional Gaussian distributions is outlined. © 2002 Elsevier Science B.V. All rights reserved.




Raphael, C. (2002). A hybrid graphical model for rhythmic parsing. Artificial Intelligence, 137(1–2), 217–238. https://doi.org/10.1016/S0004-3702(02)00192-3

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free