Title :
Multi Target Acoustic Source Tracking with an Unknown and Time Varying Number of Targets
Author_Institution :
Signal Process. Lab., Univ. of Cambridge, Cambridge
Abstract :
Particle Filter-based Acoustic Source Tracking algorithms track (online and in real-time) the position of a sound source - a person speaking in a room - based on the current data from a distributed microphone array as well as all previous data up to that point. This paper develops a previously introduced multi-target (MTT) methodology to allow for an unknown and time-varying number of speakers. Finally examples show typical tracking performance in a number of different scenarios with simultaneously active speech sources.
Keywords :
acoustic signal processing; microphone arrays; particle filtering (numerical methods); probability; speaker recognition; speech processing; target tracking; distributed microphone array; multitarget acoustic source tracking; particle filter; probability; speaker detection; speech processing; Acoustic signal processing; Filtering; Laboratories; Microphone arrays; Particle tracking; Proposals; Signal processing algorithms; Speech enhancement; Surveillance; Target tracking; Acoustic tracking; Filtering; Microphones; Monte Carlo methods; Speech processing;
Conference_Titel :
Hands-Free Speech Communication and Microphone Arrays, 2008. HSCMA 2008
Conference_Location :
Trento
Print_ISBN :
978-1-4244-2337-8
Electronic_ISBN :
978-1-4244-2338-5
DOI :
10.1109/HSCMA.2008.4538692
