Multi Target Acoustic Source Tracking with an Unknown and Time Varying Number of Targets
Maurice F. Fallon, Simon Godsill · 2008
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.