Particle Filtering Algorithms for Tracking Multiple Sound Sources using Microphone Arrays

Author

Kawamoto, Masashi ; Asano, Futoshi ; Asoh, Hidek ; Yamamoto, Koji

Author_Institution

Nat. Inst. of Adv. Ind. Sci. & Technol., Ibaraki, Japan

Volume

1

fYear

2007

fDate

15-20 April 2007

Abstract

A particle filtering algorithm using the parameters in the EM (expectation-maximization) algorithm is proposed for tracking multiple sound sources. Differently from the conventional EM based algorithms, the proposed algorithm can track multiple sound sources without knowing their starting points. Moreover, an idea of the group tracking is applied to the particle filtering algorithm so that better tracking performances can be obtained. Experimental results show the validity of the proposed algorithm.

Keywords

acoustic signal processing; expectation-maximisation algorithm; microphone arrays; particle filtering (numerical methods); expectation-maximization algorithm; microphone arrays; multiple sound source tracking; particle filtering algorithms; Acoustic noise; Covariance matrix; Filtering algorithms; Frequency; Microphone arrays; Particle filters; Particle tracking; Radar tracking; Sonar navigation; Speech; EM algorithms; Microphone arrays; Multiple sound sources; Particle filtering algorithms; Tracking;

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.2007.366633

Filename

4217033