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
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:
https://lup.lub.lu.se/record/1274716
- author
- Christensen, Mads
; Vera-Candeas, Pedro
; Somasundaram, Samuel
and Jakobsson, Andreas
LU
- publishing date
- 2008
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- parametric inharmonicity model, fundamental frequency estimation, audio signal processing, subspace orthogonality property
- host publication
- 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
- conference location
- Las Vegas, NV, United States
- conference dates
- 2008-03-31 - 2008-04-04
- 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
- 2016-04-01 13:42:59
- date last changed
- 2022-01-27 20:37:22
@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}},
keywords = {{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}},
url = {{http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4517556}},
year = {{2008}},
}