Multiple Speaker Tracking with the GLMB Filter

Kim, D, Vo, B and Nordholm, S 2017, 'Multiple Speaker Tracking with the GLMB Filter', in Proceedings of the International Conference on Control, Automation and Information Sciences (ICCAIS 2017), Chiang Mai, Thailand, 31 October - 3 November 2017, pp. 38-43.


Document type: Conference Paper
Collection: Conference Papers

Title Multiple Speaker Tracking with the GLMB Filter
Author(s) Kim, D
Vo, B
Nordholm, S
Year 2017
Conference name ICCAIS 2017
Conference location Chiang Mai, Thailand
Conference dates 31 October - 3 November 2017
Proceedings title Proceedings of the International Conference on Control, Automation and Information Sciences (ICCAIS 2017)
Publisher IEEE
Place of publication United States
Start page 38
End page 43
Total pages 6
Abstract In this paper we propose a new solution to the problem of tracking multiple speakers from multiple microphone arrays in a reverberant acoustic environment. The acoustic environment with its complex reflection patterns with its underlying data association uncertainty pose the two most significant challenges in the multi-speaker tracking problem. We provide an approach that employs individual Time Difference of Arrival measurements collected by pairs of microphones in using multiple distributed pairs in conjunction with the Generalized Labeled Multi-Bernoulli (GLMB) tracker. The distributed measurements together with the GLMB tracking filter exploits the spatiotemporal correlation of the true sources from data frame to data frame, whereas the spurious measurements arising from reverberations exhibit no temporal consistency as the speakers move in the room.
Subjects Signal Processing
DOI - identifier 10.1109/ICCAIS.2017.8217590
Copyright notice © 2017 Crown
ISBN 9781538631140
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