Title Joint High-Resolution Fundamental Frequency and Order Estimation
Authors Mads G. Christensen, Andreas Jakobsson, Sören Holdt Jensen
Full-text Available as PDF, Restricted Access
Alternative Location http://ieeexplore.ieee.org/..., Restricted Access
Alternative Location http://dx.doi.org/10.1109/T...
Publication IEEE Transactions on Audio, Speech and Language Processing
Year 2007
Volume 15
Issue 5
Pages 1635 - 1644
Document type Article
Status Published
Quality controlled Yes
Language eng
Publisher IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS
Abstract English 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.
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,
ISBN/ISSN/Other ISSN: 1558-7916

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