TRAMP: Tracking by a Real-time AMbisonic-based Particle filter

2018/10/09 by Srđan Kitić, Kitić, Srđan, Alexandre Guérin +1 · 2 citations
Computer Science · Engineering · #Speech and Audio Processing #Music and Audio Processing #Advanced Adaptive Filtering Techniques

paper · pdf · doi:10.48550/arxiv.1810.04080

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.

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• Tracking of Intermittent and Moving Speakers : Dataset and Metrics
• Speaker Embeddings to Improve Tracking of Intermittent and Moving Speakers

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