Title :
Multiple moving speaker tracking via degenerate unmixing estimation technique and Cardinality Balanced Multi-target Multi-Bernoulli Filter (DUET-CBMeMBer)
Author :
Chong, Nicholas ; Shanhung Wong ; Ba-Tuong Vo ; Sven, Nordholm ; Murray, Iain
Author_Institution :
Dept. of Electr. & Comput. Eng., Curtin Univ., Bentley, WA, Australia
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.
Keywords :
blind source separation; estimation theory; filtering theory; speaker recognition; DUET-CBMeMBer; blind source separation algorithms; cardinality balanced multitarget multi-Bernoulli filter; cocktail party problem; degenerate unmixing estimation technique; high acoustic reverberations; moving targets; multiple moving speakers; nonmoving sound sources; sound separation; Delays; Estimation; Histograms; Microphones; Speech; Target tracking; Time-frequency analysis; Blind Source Separation; CBMeMBer filter; DUET; multiple speaker tracking; sound localisation;
Conference_Titel :
Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2014 IEEE Ninth International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4799-2842-2
DOI :
10.1109/ISSNIP.2014.6827608