Extended Kalman filter with probabilistic data association for multiple non-concurrent speaker localization in reverberant environments

Chakrabarty S, Kowalczyk K, Taseska M, Habets E (2014)


Publication Language: English

Publication Status: Published

Publication Type: Conference contribution

Publication year: 2014

Publisher: Institute of Electrical and Electronics Engineers Inc.

City/Town: Florence, Italy

Pages Range: 7445-7449

Article Number: 6855047

Conference Proceedings Title: Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP)

Event location: Florence IT

ISBN: 9781479928927

DOI: 10.1109/ICASSP.2014.6855047

Abstract

Acoustic source localization and tracking (ASLT) in reverberant environments is a challenging task due to the multi-path propagation of acoustic waves. ASLT is often based on the use of a Kalman filter or a particle filter, with time-difference-of-arrival (TDOA) estimates used as measurements. In this work, we aim to track non-concurrent speakers by applying an extended Kalman filter (EKF) with probabilistic data association (PDA) that takes into account multiple measurements simultaneously. By using PDA, the inaccuracy of the measurements caused by room reflections and noise is explicitly taken into account. Unlike in typical approaches where the measurements consist of broadband TDOA estimates, the measurements in the proposed approach consist of multiple narrowband direction-of-arrival (DOA) estimates obtained from distributed microphone arrays. Experimental results demonstrate that incorporating PDA and using properly selected narrowband DOA estimates leads to a better tracking performance, as compared to the standard EKF with a single narrowband or broadband measurement.

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How to cite

APA:

Chakrabarty, S., Kowalczyk, K., Taseska, M., & Habets, E. (2014). Extended Kalman filter with probabilistic data association for multiple non-concurrent speaker localization in reverberant environments. In Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP) (pp. 7445-7449). Florence, IT: Florence, Italy: Institute of Electrical and Electronics Engineers Inc..

MLA:

Chakrabarty, Soumitro, et al. "Extended Kalman filter with probabilistic data association for multiple non-concurrent speaker localization in reverberant environments." Proceedings of the 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Florence Florence, Italy: Institute of Electrical and Electronics Engineers Inc., 2014. 7445-7449.

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