TRAMP: Tracking by a Real-time AMbisonic-based Particle filter
Sound
2018-12-06 v2 Audio and Speech Processing
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.
Cite
@article{arxiv.1810.04080,
title = {TRAMP: Tracking by a Real-time AMbisonic-based Particle filter},
author = {Srđan Kitić and Alexandre Guérin},
journal= {arXiv preprint arXiv:1810.04080},
year = {2018}
}
Comments
In Proceedings of the LOCATA ChallengeWorkshop - a satellite event of IWAENC 2018 (arXiv:1811.08482 )