Multi Target Acoustic Source Tracking with an Unknown and Time Varying Number of Targets

Author

Fallon, M.

Author_Institution

Signal Process. Lab., Univ. of Cambridge, Cambridge

fYear

2008

Firstpage

77

Lastpage

80

Abstract

Particle Filter-based Acoustic Source Tracking algorithms track (online and in real-time) the position of a sound source - a person speaking in a room - based on the current data from a distributed microphone array as well as all previous data up to that point. This paper develops a previously introduced multi-target (MTT) methodology to allow for an unknown and time-varying number of speakers. Finally examples show typical tracking performance in a number of different scenarios with simultaneously active speech sources.

Keywords

acoustic signal processing; microphone arrays; particle filtering (numerical methods); probability; speaker recognition; speech processing; target tracking; distributed microphone array; multitarget acoustic source tracking; particle filter; probability; speaker detection; speech processing; Acoustic signal processing; Filtering; Laboratories; Microphone arrays; Particle tracking; Proposals; Signal processing algorithms; Speech enhancement; Surveillance; Target tracking; Acoustic tracking; Filtering; Microphones; Monte Carlo methods; Speech processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Hands-Free Speech Communication and Microphone Arrays, 2008. HSCMA 2008

Conference_Location

Trento

Print_ISBN

978-1-4244-2337-8

Electronic_ISBN

978-1-4244-2338-5

Type

conf

DOI

10.1109/HSCMA.2008.4538692

Filename

4538692