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:
https://lup.lub.lu.se/record/1216205
- author
- Christensen, Mads G.
; Stoica, Petre
; Jakobsson, Andreas
LU
and Jensen, Sören Holdt
- publishing date
- 2008
- 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
- 2016-04-01 15:03:50
- date last changed
- 2022-04-22 06:36:46
@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}},
keywords = {{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}},
doi = {{10.1016/j.sigpro.2007.10.014}},
volume = {{88}},
year = {{2008}},
}