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Multiple sound source tracking and identification via degenerate unmixing estimation technique and cardinality balanced multi-target multi-bernoulli filter (DUET-CBMeMBer) with track management

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Chong, N.
Wong, S.
Nordholm, S.
Murray, Iain
Date
2015
Type
Conference Paper

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Chong, N. and Wong, S. and Nordholm, S. and Murray, I. 2015. Multiple sound source tracking and identification via degenerate unmixing estimation technique and cardinality balanced multi-target multi-bernoulli filter (DUET-CBMeMBer) with track management, in Proceedings of the Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2014 Asia-Pacific , Dec 9-12 2014. Siem Reap: Institute of Electrical and Electronics Engineers Inc.
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2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014
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Department of Electrical and Computer Engineering
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Abstract

In Source Separation research, 'cocktail party problem' is a challenging problem that research into source separation aims to solve. Many attempts have been made to solve this complex problem. A logical approach would be to break down this complex problem into several smaller problems which are solved in different stages - each considering various aspects. In this paper, we are providing a robust solution to a part of the problem by localizing and tracking multiple moving speech sources in a room environment. Here we study the separation problem for unknown number of moving sources. The DUET-CBMeMBer method we outline is capable of estimating the number of sound sources as well as tracking and labelling them. This paper proposes a track management technique that identifies sound sources based on their trajectory as an extension to the DUET-CBMeMBer technique.