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Multi-pitch estimation
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
2008 (English)In: Signal Processing, ISSN 0165-1684, Vol. 88, no 4, 972-983 p.Article in journal (Refereed) Published
Abstract [en]

In this paper, we formulate the multi-pitch estimation problem and propose a number of methods to estimate the set of fundamental frequencies. The proposed methods, based on the nonlinear least-squares (NLS), Multiple Signal Classification (MUSIC) and the Capon principles, estimate the multiple fundamental frequencies via a number of one-dimensional searches. We also propose an iterative method based on the Expectation Maximization (EM) algorithm. The statistical properties of the methods are evaluated via Monte Carlo simulations for both the single- and multi-pitch cases.

Place, publisher, year, edition, pages
2008. Vol. 88, no 4, 972-983 p.
Keyword [en]
parameter estimation, estimation theory, pitch estimation, fundamental frequency estimation, periodic signals
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:uu:diva-104186DOI: 10.1016/j.sigpro.2007.10.014ISI: 000252635700016OAI: oai:DiVA.org:uu-104186DiVA: diva2:219504
Available from: 2009-05-27 Created: 2009-05-27 Last updated: 2010-01-14Bibliographically approved

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Stoica, Peter

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