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Joint High-Resolution Fundamental Frequency and Order Estimation

Christensen, Mads G.; Jakobsson, Andreas LU and Jensen, Sören Holdt (2007) In IEEE Transactions on Audio, Speech, and Language Processing 15(5). p.1635-1644
Abstract
In this paper, we present a novel method for joint estimation of the fundamental frequency and order of a set of harmonically related sinusoids based on the MUltiple SIgnal Classification (MUSIC) estimation criterion. The presented method, termed HMUSIC, is shown to have an efficient implementation using fast Fourier transforms (FFTs). Furthermore, refined estimates can be obtained using a gradient-based method. Illustrative examples of the application of the algorithm to real-life speech and audio signals are given, and the statistical performance of the estimator is evaluated using synthetic signals, demonstrating its good statistical properties.
Please use this url to cite or link to this publication:
author
publishing date
type
Contribution to journal
publication status
published
subject
keywords
estimation, frequency estimation, fundamental frequency estimation, MUltiple SIgnal Classification (MUSIC), pitch estimation, subspace methods, PARAMETER-ESTIMATION, SINUSOIDAL SIGNALS, AUDIO SIGNALS, MUSIC, MODEL, DECOMPOSITION, SELECTION
in
IEEE Transactions on Audio, Speech, and Language Processing
volume
15
issue
5
pages
1635 - 1644
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • scopus:37649004361
ISSN
1558-7924
DOI
10.1109/TASL.2007.899267
language
English
LU publication?
no
id
b4661ce4-a334-44c7-8805-f5f46c7fe5d7 (old id 1216172)
alternative location
http://ieeexplore.ieee.org/iel5/10376/4244504/04244509.pdf?tp=&arnumber=4244509&isnumber=4244504
date added to LUP
2008-09-30 10:11:24
date last changed
2017-08-20 03:41:44
@article{b4661ce4-a334-44c7-8805-f5f46c7fe5d7,
  abstract     = {In this paper, we present a novel method for joint estimation of the fundamental frequency and order of a set of harmonically related sinusoids based on the MUltiple SIgnal Classification (MUSIC) estimation criterion. The presented method, termed HMUSIC, is shown to have an efficient implementation using fast Fourier transforms (FFTs). Furthermore, refined estimates can be obtained using a gradient-based method. Illustrative examples of the application of the algorithm to real-life speech and audio signals are given, and the statistical performance of the estimator is evaluated using synthetic signals, demonstrating its good statistical properties.},
  author       = {Christensen, Mads G. and Jakobsson, Andreas and Jensen, Sören Holdt},
  issn         = {1558-7924},
  keyword      = {estimation,frequency estimation,fundamental frequency estimation,MUltiple SIgnal Classification (MUSIC),pitch estimation,subspace methods,PARAMETER-ESTIMATION,SINUSOIDAL SIGNALS,AUDIO SIGNALS,MUSIC,MODEL,DECOMPOSITION,SELECTION},
  language     = {eng},
  number       = {5},
  pages        = {1635--1644},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  series       = {IEEE Transactions on Audio, Speech, and Language Processing},
  title        = {Joint High-Resolution Fundamental Frequency and Order Estimation},
  url          = {http://dx.doi.org/10.1109/TASL.2007.899267},
  volume       = {15},
  year         = {2007},
}