Title :
Multi-Pitch Estimation Using Harmonic Music
Author :
Christensen, Mads Græsbøll ; Jakobsson, Andreas ; Jensen, Søren Holdt
Author_Institution :
Dept. of Electron. Syst., Aalborg Univ., Aalborg
fDate :
Oct. 29 2006-Nov. 1 2006
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.
Keywords :
frequency estimation; signal classification; frequency estimation; harmonic multiple signal classification; multi pitch estimation; periodic source; Additive noise; Amplitude estimation; Cost function; Covariance matrix; Data models; Frequency estimation; Gaussian noise; Multiple signal classification; Parameter estimation; Speech processing;
Conference_Titel :
Signals, Systems and Computers, 2006. ACSSC '06. Fortieth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
1-4244-0784-2
Electronic_ISBN :
1058-6393
DOI :
10.1109/ACSSC.2006.354802