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    Multiple speaker tracking with the GLMB filter

    Access Status
    Fulltext not available
    Authors
    Kim, Du Yong
    Vo, B.
    Nordholm, Sven
    Date
    2017
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Kim, D.Y. and Vo, B. and Nordholm, S. 2017. Multiple speaker tracking with the GLMB filter, pp. 38-43.
    Source Title
    2017 International Conference on Control, Automation and Information Sciences, ICCAIS 2017
    DOI
    10.1109/ICCAIS.2017.8217590
    ISBN
    9781538631140
    School
    School of Electrical Engineering, Computing and Mathematical Science (EECMS)
    Funding and Sponsorship
    http://purl.org/au-research/grants/arc/DP170104854
    URI
    http://hdl.handle.net/20.500.11937/67212
    Collection
    • Curtin Research Publications
    Abstract

    © 2017 IEEE. 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.

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