CUED Publications database

Multiple pitch estimation using non-homogeneous poisson processes

Peeling, PH and Godsill, SJ (2011) Multiple pitch estimation using non-homogeneous poisson processes. IEEE Journal on Selected Topics in Signal Processing, 5. pp. 1133-1143. ISSN 1932-4553

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Novel statistical models are proposed and developed in this paper for automated multiple-pitch estimation problems. Point estimates of the parameters of partial frequencies of a musical note are modeled as realizations from a non-homogeneous Poisson process defined on the frequency axis. When several notes are combined, the processes for the individual notes combine to give a new Poisson process whose likelihood is easy to compute. This model avoids the data-association step of linking the harmonics of each note with the corresponding partials and is ideal for efficient Bayesian inference of unknown multiple fundamental frequencies in a signal. © 2011 IEEE.

Item Type: Article
Uncontrolled Keywords: Bayesian methods Frequency estimation Matching pursuit algorithms Music information retrieval Spectral analysis
Divisions: Div F > Signal Processing and Communications
Depositing User: Unnamed user with email
Date Deposited: 16 Jul 2015 13:11
Last Modified: 28 Nov 2015 08:47
DOI: 10.1109/JSTSP.2011.2158804