Joint High-Resolution Fundamental Frequency and Order Estimation
(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:
https://lup.lub.lu.se/record/1216172
- author
- Christensen, Mads G. ; Jakobsson, Andreas LU and Jensen, Sören Holdt
- publishing date
- 2007
- 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
- 2016-04-01 12:15:24
- date last changed
- 2022-04-13 08:27:34
@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}}, 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}}, 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}}, doi = {{10.1109/TASL.2007.899267}}, volume = {{15}}, year = {{2007}}, }