Title: TRAMP: Tracking by a Real-time AMbisonic-based Particle filter,
Abstract: This article presents a multiple sound source localization and tracking
system, fed by the Eigenmike array. The First Order Ambisonics (FOA) format is
used to build a pseudointensity-based spherical histogram, from which the
source position estimates are deduced. These instantaneous estimates are
processed by a wellknown tracking system relying on a set of particle filters.
While the novelty within localization and tracking is incremental, the
fully-functional, complete and real-time running system based on these
algorithms is proposed for the first time. As such, it could serve as an
additional baseline method of the LOCATA challenge.