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Multi-Pitch Estimation using Harmonic MUSIC

Christensen, Mads; Jakobsson, Andreas LU and Jensen, Sören (2006) 40th Asilomar Conference on Signals, Systems, and Computers, 2006 In 2006 Fortieth Asilomar Conference on Signals, Systems and Computers p.521-524
Abstract
In this paper, we present a method for estimation of the fundamental frequencies, or pitches, of several periodic sources. This difficult estimation problem occurs, for example, in speech and audio processing whenever multiple speakers or tones are present. The presented method is an extension of a recently proposed method for estimation of the fundamental frequency of a set of harmonically related sinusoids based on the MUSIC criterion. The estimator takes into account that the number of harmonics and sources may vary. The performance of the proposed method is evaluated in Monte Carlo simulations using synthetic signals under various conditions.
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author
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
harmonic multiple signal classification, signal classification, frequency estimation, multi pitch estimation, periodic source
in
2006 Fortieth Asilomar Conference on Signals, Systems and Computers
pages
521 - 524
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
40th Asilomar Conference on Signals, Systems, and Computers, 2006
external identifiers
  • scopus:47049094617
ISBN
1-4244-0785-0
language
English
LU publication?
no
id
541375e4-c08f-48e8-8296-8779be2b4504 (old id 1274669)
date added to LUP
2009-01-23 14:25:59
date last changed
2017-03-05 04:28:11
@inproceedings{541375e4-c08f-48e8-8296-8779be2b4504,
  abstract     = {In this paper, we present a method for estimation of the fundamental frequencies, or pitches, of several periodic sources. This difficult estimation problem occurs, for example, in speech and audio processing whenever multiple speakers or tones are present. The presented method is an extension of a recently proposed method for estimation of the fundamental frequency of a set of harmonically related sinusoids based on the MUSIC criterion. The estimator takes into account that the number of harmonics and sources may vary. The performance of the proposed method is evaluated in Monte Carlo simulations using synthetic signals under various conditions.},
  author       = {Christensen, Mads and Jakobsson, Andreas and Jensen, Sören},
  booktitle    = {2006 Fortieth Asilomar Conference on Signals, Systems and Computers},
  isbn         = {1-4244-0785-0},
  keyword      = {harmonic multiple signal classification,signal classification,frequency estimation,multi pitch estimation,periodic source},
  language     = {eng},
  pages        = {521--524},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  title        = {Multi-Pitch Estimation using Harmonic MUSIC},
  year         = {2006},
}