TY - JOUR
T1 - Particle filter design using importance sampling for acoustic source localisation and tracking in reverberant environments
AU - Lehmann, Eric A.
AU - Williamson, Robert C.
PY - 2006
Y1 - 2006
N2 - Sequential Monte Carlo methods have been recently proposed to deal with the problem of acoustic source localisation and tracking using an array of microphones. Previous implementations make use of the basic bootstrap particle filter, whereas a more general approach involves the concept of importance sampling. In this paper, we develop a new particle filter for acoustic source localisation using importance sampling, and compare its tracking ability with that of a bootstrap algorithm proposed previously in the literature. Experimental results obtained with simulated reverberant samples and real audio recordings demonstrate that the new algorithm is more suitable for practical applications due to its reinitialisation capabilities, despite showing a slightly lower average tracking accuracy. A real-time implementation of the algorithm also shows that the proposed particle filter can reliably track a person talking in real reverberant rooms.
AB - Sequential Monte Carlo methods have been recently proposed to deal with the problem of acoustic source localisation and tracking using an array of microphones. Previous implementations make use of the basic bootstrap particle filter, whereas a more general approach involves the concept of importance sampling. In this paper, we develop a new particle filter for acoustic source localisation using importance sampling, and compare its tracking ability with that of a bootstrap algorithm proposed previously in the literature. Experimental results obtained with simulated reverberant samples and real audio recordings demonstrate that the new algorithm is more suitable for practical applications due to its reinitialisation capabilities, despite showing a slightly lower average tracking accuracy. A real-time implementation of the algorithm also shows that the proposed particle filter can reliably track a person talking in real reverberant rooms.
UR - http://www.scopus.com/inward/record.url?scp=33846817255&partnerID=8YFLogxK
U2 - 10.1155/ASP/2006/17021
DO - 10.1155/ASP/2006/17021
M3 - Article
SN - 1110-8657
VL - 2006
JO - Eurasip Journal on Applied Signal Processing
JF - Eurasip Journal on Applied Signal Processing
M1 - 17021
ER -