Title :
Multi Target Acoustic Source Tracking using Track Before Detect
Author :
Fallon, Maurice ; Godsill, Simon
Author_Institution :
Signal Processing and Communications Laboratory, Cambridge University Engineering Dept, Trumpington Street, Cambridge, CB2 1PZ, UK. mff25@cam.ac.uk
Abstract :
Particle Filter-based Source Localisation algorithms attempt to track 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 introduces a multi-target methodology for acoustic source tracking. The methodology is based upon the Track Before Detect (TBD) framework. The algorithm also implicitly evaluates the source activity using a variable appended to the state vector. Examples of typical tracking performance are given using a set of real speech recordings with two sources active simultaneously.
Keywords :
Acoustic applications; Acoustic signal detection; Acoustic signal processing; Conferences; Frequency; Microphone arrays; Particle tracking; Signal processing algorithms; Speech; Target tracking;
Conference_Titel :
Applications of Signal Processing to Audio and Acoustics, 2007 IEEE Workshop on
Conference_Location :
New Paltz, NY, USA
Print_ISBN :
978-1-4244-1620-2
Electronic_ISBN :
978-1-4244-1619-6
DOI :
10.1109/ASPAA.2007.4392977