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Multi-Pitch Estimation

Christensen, Mads G.; Stoica, Petre; Jakobsson, Andreas LU and Jensen, Sören Holdt (2008) In Signal Processing 88(4). p.972-983
Abstract
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. (c) 2007 Elsevier B.V. All rights reserved.
Please use this url to cite or link to this publication:
author
publishing date
type
Contribution to journal
publication status
published
subject
keywords
parameter estimation, estimation theory, pitch estimation, fundamental frequency estimation, periodic signals, PARAMETER-ESTIMATION, FUNDAMENTAL-FREQUENCY, SINUSOIDAL SIGNALS, ALGORITHM, SPEECH, MUSIC
in
Signal Processing
volume
88
issue
4
pages
972 - 983
publisher
Elsevier
external identifiers
  • scopus:37649014790
ISSN
0165-1684
DOI
10.1016/j.sigpro.2007.10.014
language
English
LU publication?
no
id
295f19f5-c188-4092-9c40-8b93e10f665c (old id 1216205)
alternative location
http://www.sciencedirect.com/science?_ob=MImg&_imagekey=B6V18-4PYYTN0-2-6D&_cdi=5668&_user=745831&_orig=search&_coverDate=04%2F30%2F2008&_sk=999119995&view=c&wchp=dGLbVzz-zSkzV&md5=e09700eb2346145c57effd29d3e1b465&ie=/sdarticle.pdf
date added to LUP
2008-09-30 10:16:57
date last changed
2017-07-30 04:24:30
@article{295f19f5-c188-4092-9c40-8b93e10f665c,
  abstract     = {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. (c) 2007 Elsevier B.V. All rights reserved.},
  author       = {Christensen, Mads G. and Stoica, Petre and Jakobsson, Andreas and Jensen, Sören Holdt},
  issn         = {0165-1684},
  keyword      = {parameter estimation,estimation theory,pitch estimation,fundamental frequency estimation,periodic signals,PARAMETER-ESTIMATION,FUNDAMENTAL-FREQUENCY,SINUSOIDAL SIGNALS,ALGORITHM,SPEECH,MUSIC},
  language     = {eng},
  number       = {4},
  pages        = {972--983},
  publisher    = {Elsevier},
  series       = {Signal Processing},
  title        = {Multi-Pitch Estimation},
  url          = {http://dx.doi.org/10.1016/j.sigpro.2007.10.014},
  volume       = {88},
  year         = {2008},
}