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

Nicholas Chong, Shanhung Wong, B. Vo, S. Nordholm, I. Murray
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引用次数: 4

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.
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基于退化解混估计和基数平衡多目标多伯努利滤波器(DUET-CBMeMBer)的多运动扬声器跟踪
“鸡尾酒会问题”一直是一个具有挑战性的问题,人们提出了许多盲源分离算法作为解决方案。这一问题主要针对非运动声源进行了讨论,但对于运动声源和高混响声,这一问题仍然存在。定位和跟踪多个移动扬声器的能力是解决这个问题的先决条件。本文的目的是表明,结合退化解混估计技术和基数平衡多目标多伯努利滤波器提供了一种可行的方法来跟踪多个声源,从而解决运动目标的声音分离问题。
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