The Multi-Pitch Estimation Problem: some New Solutions

Author

Christensen, Mads Grasboll ; Stoica, Petre ; Jakobsson, Andreas ; Jensen, Soren Holdt

Author_Institution

Dept. of Electron. Syst., Aalborg Univ., Denmark

Volume

3

fYear

2007

fDate

15-20 April 2007

Abstract

In this paper, we formulate the multi-pitch estimation problem and propose a number of methods to estimate the set of fundamental frequencies. The methods, which are based on nonlinear least-squares, multiple signal classification (MUSIC) and the Capon principles, have in common the fact that the multiple fundamental frequencies are estimated by means of a one-dimensional search. The statistical properties of the methods are evaluated via Monte Carlo simulations.

Keywords

Monte Carlo methods; acoustic signal processing; least squares approximations; signal classification; Capon principles; MUSIC; Monte Carlo simulations; multi-pitch estimation problem; multiple signal classification; nonlinear least-squares; Cost function; Frequency estimation; Frequency measurement; Information technology; Instruments; Multiple signal classification; Signal analysis; Signal processing; Spectral analysis; Speech processing; Acoustic signal analysis; frequency estimation; spectral analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on

Conference_Location

Honolulu, HI

ISSN

1520-6149

Print_ISBN

1-4244-0727-3

Type

conf

DOI

10.1109/ICASSP.2007.367063

Filename

4217936