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Robust Subspace-based Fundamental Frequency Estimation

Christensen, Mads; Vera-Candeas, Pedro; Somasundaram, Samuel and Jakobsson, Andreas LU (2008) IEEE International Conference on Acoustics, Speech, and Signal Processing, 2008 In 2008 IEEE International Conference on Acoustics, Speech and Signal Processing p.101-104
Abstract
The problem of fundamental frequency estimation is considered in the context of signals where the frequencies of the harmonics are not exact integer multiples of a fundamental frequency. This frequently occurs in audio signals produced by, for example, stiff-stringed musical instruments, and is sometimes referred to as inharmonicity. We derive a novel robust method based on the subspace orthogonality property of MUSIC and show how it may be used for analyzing audio signals. The proposed method is both more general and less complex than a straight-forward implementation of a parametric model of the inharmonicity derived from a physical instrument model. Additionally, it leads to more accurate estimates of the individual frequencies than the... (More)
The problem of fundamental frequency estimation is considered in the context of signals where the frequencies of the harmonics are not exact integer multiples of a fundamental frequency. This frequently occurs in audio signals produced by, for example, stiff-stringed musical instruments, and is sometimes referred to as inharmonicity. We derive a novel robust method based on the subspace orthogonality property of MUSIC and show how it may be used for analyzing audio signals. The proposed method is both more general and less complex than a straight-forward implementation of a parametric model of the inharmonicity derived from a physical instrument model. Additionally, it leads to more accurate estimates of the individual frequencies than the method based on the parametric inharmonicity model and a reduced bias of the fundamental frequency compared to the perfectly harmonic model. (Less)
Please use this url to cite or link to this publication:
author
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
parametric inharmonicity model, fundamental frequency estimation, audio signal processing, subspace orthogonality property
in
2008 IEEE International Conference on Acoustics, Speech and Signal Processing
pages
101 - 104
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2008
external identifiers
  • scopus:51449109990
ISSN
1520-6149
language
English
LU publication?
no
id
be588199-125c-441c-873c-d041f85fc8f9 (old id 1274716)
alternative location
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4517556
date added to LUP
2009-05-25 12:15:19
date last changed
2017-07-30 04:06:30
@inproceedings{be588199-125c-441c-873c-d041f85fc8f9,
  abstract     = {The problem of fundamental frequency estimation is considered in the context of signals where the frequencies of the harmonics are not exact integer multiples of a fundamental frequency. This frequently occurs in audio signals produced by, for example, stiff-stringed musical instruments, and is sometimes referred to as inharmonicity. We derive a novel robust method based on the subspace orthogonality property of MUSIC and show how it may be used for analyzing audio signals. The proposed method is both more general and less complex than a straight-forward implementation of a parametric model of the inharmonicity derived from a physical instrument model. Additionally, it leads to more accurate estimates of the individual frequencies than the method based on the parametric inharmonicity model and a reduced bias of the fundamental frequency compared to the perfectly harmonic model.},
  author       = {Christensen, Mads and Vera-Candeas, Pedro and Somasundaram, Samuel and Jakobsson, Andreas},
  booktitle    = {2008 IEEE International Conference on Acoustics, Speech and Signal Processing},
  issn         = {1520-6149},
  keyword      = {parametric inharmonicity model,fundamental frequency estimation,audio signal processing,subspace orthogonality property},
  language     = {eng},
  pages        = {101--104},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  title        = {Robust Subspace-based Fundamental Frequency Estimation},
  year         = {2008},
}