Applying von Mises Distribution to Microphone Array Probabilistic Sensor Modelling (CROSBI ID 560490)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Marković, Ivan ; Petrović, Ivan
engleski
Applying von Mises Distribution to Microphone Array Probabilistic Sensor Modelling
This paper deals with the problem of localizing and tracking a moving speaker over the full range around the mobile robot. The proposed algorithm is based on estimating the time difference of arrival by maximizing the weighted cross-correlation function in order to, by series of geometrical calculation, determine the azimuth angle of the detected speaker. A post processing technique is proposed in which each of these microphone-pair determined azimuths are further combined into a mixture of the von Mises distributions, thus producing a practical probabilistic representation of the microphone array measurement. It is shown that this distribution is inherently multimodal and that the system at hand is non-linear, which required a discrete representation of the distribution function by means of particle filtering. Experiments were conducted and the results show that the algorithm can reliably and accurately localize and track a moving sound source.
Speaker localization; microphone array; von Mises distribution; Particle Filtering
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Podaci o prilogu
21-27.
2010.
objavljeno
Podaci o matičnoj publikaciji
Proceedings for the Joint Conference of ISR 2010 (41st Internationel Symposium on Robotics) und ROBOTIK 2010 (6th German Conference on Robotics)
München:
Podaci o skupu
The joint conference of the 41st International Symposium on Robotics (ISR 2010) and the 6th German Conference on Robotics (ROBOTIK 2010)
predavanje
07.07.2010-09.07.2010
München, Njemačka