Multi-Pitch Estimation using Harmonic MUSIC
(2006) 40th Asilomar Conference on Signals, Systems, and Computers, 2006 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.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1274669
- author
- Christensen, Mads ; Jakobsson, Andreas LU and Jensen, Sören
- publishing date
- 2006
- 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
- host publication
- 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
- conference location
- Pacific Grove, CA, United States
- conference dates
- 2006-10-29 - 2006-11-01
- 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
- 2016-04-04 12:08:21
- date last changed
- 2022-01-29 22:58:04
@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}}, keywords = {{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}}, }