Title
Sound Source Localization and Reconstruction Using a Wearable Microphone Array and Inertial Sensors
Abstract
A wearable microphone array platform is used to localize stationary sound sources and amplify the sound in the desired directions using several beamforming methods. The platform is equipped with inertial sensors and a magnetometer allowing predictions of source locations during orientation changes and compensation for the displacement in the array configuration. The platform is modular, open and 3D printed to allow for easy reconfiguration of the array and for reuse in other applications, e.g., mobile robotics. The software components are based on open source. A new method for source localization and signal reconstruction using Taylor expansion of the signals is proposed. This and various standard and non-standard Direction of Arrival (DOA) methods are evaluated in simulation and experiments with the platform to track and reconstruct multiple and single sources. Results show that sound sources can be localized and tracked robustly and accurately while rotating the platform and that the proposed method outperforms standard methods at reconstructing the signals.
Year
DOI
Venue
2020
10.23919/FUSION45008.2020.9190480
2020 IEEE 23rd International Conference on Information Fusion (FUSION)
Keywords
DocType
ISBN
inertial sensors,wearable microphone array platform,beamforming methods,array configuration,mobile robotics,software components,open source,signal reconstruction,direction of arrival methods,sound source reconstruction,stationary sound source localization,modular open 3D printed platform,Taylor expansion,DOA methods
Conference
978-1-7281-6830-2
Citations 
PageRank 
References 
0
0.34
8
Authors
4
Name
Order
Citations
PageRank
Clas Veibäck100.34
Martin A. Skoglund2314.33
Fredrik Gustafsson32287281.33
Gustaf Hendeby421621.37