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The Multi-Pitch Estimation Problem: Some Solutions

Christensen, Mads ; Stoica, Petre ; Jakobsson, Andreas LU orcid and Jensen, Sören (2007) IEEE International Conference on Acoustics, Speech and Signal Processing, 2007 2007(3). p.1221-1224
Abstract
n this paper, we formulate the multi-pitch estimation problem and propose a number of methods to estimate the set of fundamental frequencies. The methods, which are based on nonlinear least-squares, multiple signal classification (MUSIC) and the Capon principles, have in common the fact that the multiple fundamental frequencies are estimated by means of a one-dimensional search. The statistical properties of the methods are evaluated via Monte Carlo simulations
Please use this url to cite or link to this publication:
author
; ; and
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Capon principles, MUSIC, multi-pitch estimation problem, nonlinear least-squares, multiple signal classification, Monte Carlo simulations
host publication
2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07
volume
2007
issue
3
pages
1221 - 1224
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
IEEE International Conference on Acoustics, Speech and Signal Processing, 2007
conference location
Honolulu, United States
conference dates
2007-04-15 - 2007-04-20
ISSN
1520-6149
language
English
LU publication?
no
id
6d70a866-cc6c-4904-8c75-53bf6d823632 (old id 1274677)
alternative location
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4217936
date added to LUP
2016-04-01 16:09:26
date last changed
2020-06-03 10:14:53
@inproceedings{6d70a866-cc6c-4904-8c75-53bf6d823632,
  abstract     = {{n this paper, we formulate the multi-pitch estimation problem and propose a number of methods to estimate the set of fundamental frequencies. The methods, which are based on nonlinear least-squares, multiple signal classification (MUSIC) and the Capon principles, have in common the fact that the multiple fundamental frequencies are estimated by means of a one-dimensional search. The statistical properties of the methods are evaluated via Monte Carlo simulations}},
  author       = {{Christensen, Mads and Stoica, Petre and Jakobsson, Andreas and Jensen, Sören}},
  booktitle    = {{2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07}},
  issn         = {{1520-6149}},
  keywords     = {{Capon principles; MUSIC; multi-pitch estimation problem; nonlinear least-squares; multiple signal classification; Monte Carlo simulations}},
  language     = {{eng}},
  number       = {{3}},
  pages        = {{1221--1224}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{The Multi-Pitch Estimation Problem: Some Solutions}},
  url          = {{http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4217936}},
  volume       = {{2007}},
  year         = {{2007}},
}