DocumentCode
698029
Title
A sequential Monte Carlo approach for tracking of overlapping acoustic sources
Author
Brutti, Alessio ; Omologo, Maurizio ; Svaizer, Piergiorgio
Author_Institution
Fondazione Bruno Kessler - CIT - IRST, Trento, Italy
fYear
2009
fDate
24-28 Aug. 2009
Firstpage
2559
Lastpage
2563
Abstract
This paper describes a novel approach based on the sequential Monte Carlo method for tracking of multiple sources overlapping in time. The algorithm is designed for multi-microphone applications and manipulates GCC-PHAT measurements in order to obtain robust likelihoods for all active sources. An experimental analysis was conducted on real data acquired with different microphone configurations. Results show the effectiveness of the proposed algorithm.
Keywords
Monte Carlo methods; acoustic radiators; acoustic signal processing; microphone arrays; GCC-PHAT measurements; multi-microphone applications; overlapping acoustic sources tracking; robust likelihoods; sequential Monte Carlo method; Abstracts; Arrays; Equations; Noise; Noise measurement; Reverberation; Time measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference, 2009 17th European
Conference_Location
Glasgow
Print_ISBN
978-161-7388-76-7
Type
conf
Filename
7077603
Link To Document