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Speaker localization and tracking with a microphone array on a mobile robot using von Mises distribution and particle filtering


Marković, Ivan; Petrović, Ivan
Speaker localization and tracking with a microphone array on a mobile robot using von Mises distribution and particle filtering // Robotics and autonomous systems, 58 (2010), 11; 1185-1196 doi:10.1016/j.robot.2010.08.001 (međunarodna recenzija, članak, znanstveni)


Naslov
Speaker localization and tracking with a microphone array on a mobile robot using von Mises distribution and particle filtering

Autori
Marković, Ivan ; Petrović, Ivan

Izvornik
Robotics and autonomous systems (0921-8890) 58 (2010), 11; 1185-1196

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Speaker localization ; Microphone array ; von Mises distribution ; Particle filtering

Sažetak
This paper deals with the problem of localizing and tracking a moving speaker over the full range around the mobile robot. The problem is solved by taking advantage of the phase shift between signals received at spatially separated microphones. The proposed algorithm is based on estimating the time difference of arrival by maximizing the weighted cross-correlation function in order to determine the azimuth angle of the detected speaker. The cross-correlation is enhanced with an adaptive signal-to-noise estimation algorithm to make the azimuth estimation more robust in noisy surroundings. A post-processing technique is proposed in which each of these microphone-pair determined azimuths are further combined into a mixture of 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. Therefore, particle filtering is applied for discrete representation of the distribution function. Furthermore, the two most common microphone array geometries are analysed and exhaustive experiments were conducted in order to qualitatively and quantitatively test the algorithm and compare the two geometries. Also, a voice activity detection algorithm based on the before-mentioned signal-to-noise estimator was implemented and incorporated into the existing speaker localization system. The results show that the algorithm can reliably and accurately localize and track a moving speaker.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo, Temeljne tehničke znanosti



POVEZANOST RADA


Projekt / tema
036-0361621-3012 - Napredne strategije upravljanja i estimacije u složenim sustavima (Nedjeljko Perić, )
036-0363078-3018 - Upravljanje mobilnim robotima i vozilima u nepoznatim i dinamičkim okruženjima (Ivan Petrović, )

Ustanove
Fakultet elektrotehnike i računarstva, Zagreb

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


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