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 1932-4553Full text not available from this repository.
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.
|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 email@example.com|
|Date Deposited:||16 Jul 2015 13:11|
|Last Modified:||28 Nov 2015 08:47|