A Mixed Graphical Model for Rhythmic Parsing

Autor:	Raphael, Christopher S
Rok vydání:	2013
Předmět:	Computer Science - Artificial Intelligence Computer Science - Sound
Druh dokumentu:	Working Paper
Popis:	A method is presented for the rhythmic parsing problem: Given a sequence of observed musical note onset times, we estimate the corresponding notated rhythm and tempo process. A graphical model is developed that represents the simultaneous evolution of tempo and rhythm and relates these hidden quantities to observations. 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. Preliminary experiments are presented on a small data set. A generalization to arbitrary conditional Gaussian distributions is outlined. Comment: Appears in Proceedings of the Seventeenth Conference on Uncertainty in Artificial Intelligence (UAI2001)
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1301.2306 Zobrazit plný text záznamu View this record from Arxiv