NDLI: Multiple moving speaker tracking via degenerate unmixing estimation technique and Cardinality Balanced Multi-target Multi-Bernoulli Filter (DUET-CBMeMBer)

Content Provider	IEEE Xplore Digital Library
Author	Chong, N. Shanhung Wong Ba-Tuong Vo Sven, N. Murray, I.
Copyright Year	2014
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Curtin Univ., Bentley, WA, Australia (Chong, N.; Shanhung Wong; Ba-Tuong Vo; Sven, N.; Murray, I.)
Abstract	The "cocktail party problem" has always been a challenging problem to solve and many blind source separation algorithms have been proposed as solutions. This problem has mainly been discussed for non-moving sound sources but it still remains for moving sound sources and high acoustic reverberations. The ability to localise and track multiple moving speakers is a pre-requisite to solving this problem. The aim of this paper is to show that a combination of Degenerate Unmixing Estimation Technique and a Cardinality Balanced Multitarget Multi-Bernoulli Filter provides a viable way to track multiple sound sources and subsequently address the problem of sound separation for moving targets.
Sponsorship	IEEE Sensors Counc.
Starting Page	1
Ending Page	6
File Size	290992
Page Count	6
File Format	PDF
e-ISBN	9781479928439
DOI	10.1109/ISSNIP.2014.6827608
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-04-21
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Blind Source Separation DUET Time-frequency analysis Histograms Target tracking Estimation CBMeMBer filter Speech Delays sound localisation multiple speaker tracking Microphones
Content Type	Text
Resource Type	Article

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