Sequential Inference of Rhythmic Structure in Musical Audio

Author

Whiteley, Nick ; Cemgil, A.T. ; Godsill, Simon

Author_Institution

Dept. of Eng., Cambridge Univ., UK

Volume

4

fYear

2007

fDate

15-20 April 2007

Abstract

This paper presents a framework for the modelling of temporal characteristics of musical signals and an approximate, sequential Monte Carlo inference scheme which yields estimates of tempo and rhythmic pattern from onset-time data. These two features are quantified through the construction of a probabilistic dynamical model of a hidden ´bar-pointer´ and a Poisson observation model. The capabilities of the system are demonstrated by tracking the tempo of a 2 against 3 polyrhythm and detecting a switch in rhythm in a MIDI performance.

Keywords

Monte Carlo methods; acoustic signal processing; audio signal processing; music; stochastic processes; MIDI performance; Poisson observation model; hidden bar-pointer; musical audio; musical signals; probabilistic dynamical model; rhythmic structure; sequential Monte Carlo inference scheme; temporal characteristics; Data engineering; Intelligent structures; Intelligent systems; Laboratories; Monte Carlo methods; Rhythm; Signal processing; Statistical distributions; Switches; Yield estimation; Monte Carlo methods; Music; Poisson distributions; Statistics;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on

Conference_Location

Honolulu, HI

ISSN

1520-6149

Print_ISBN

1-4244-0727-3

Type

conf

DOI

10.1109/ICASSP.2007.367321

Filename

4218352