Publication

Positional Tracking of a Moving Microphone in Reverberant Scenes by Applying Perfect Sequences to Distributed Loudspeakers

Fabrice Katzberg, Marco Maass, René Pallenberg, Alfred Mertins

In: Proc. International Workshop on Acoustic Signal Enhancement. International Workshop on Acoustic Signal Enhancement (IWAENC-2022) September 5-8 Bamberg Germany ISBN 978-1-6654-6867-1 IEEE 2022.

Abstract

Moving microphones allow for the fast acquisition of sound-field data. Such continuous sampling procedures require trajectory knowledge for relating the dynamic samples to a positional context and solving the involved spatio-temporal channel estimation problem. Having one non-uniformly moving microphone, the hardware effort is heavily dominated by additional tracking equipment. In this paper, we present a low-cost tracking method using the microphone signal itself, provided that loudspeakers at surrounding reference points are excited by perfect sequences. As this is often the actual measurement setup, the proposed technique can be seamlessly incorporated into such dynamic sampling procedures. The acoustic tracking system employs a polyphase decomposition and resampling scheme for obtaining low-frequency estimates of the varying impulse responses to the loudspeaker positions and applying multilateration.

katzberg2022.pdf (pdf, 410 KB )

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz