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Sound Source Localization and Reconstruction Using a Wearable Microphone Array and Inertial Sensors
Linköpings universitet, Institutionen för systemteknik, Reglerteknik. Linköpings universitet, Tekniska fakulteten.
Linköpings universitet, Institutionen för systemteknik, Reglerteknik. Linköpings universitet, Tekniska fakulteten. Oticon.
Linköpings universitet, Institutionen för systemteknik, Reglerteknik. Linköpings universitet, Tekniska fakulteten.ORCID-id: 0000-0003-3270-171X
Linköpings universitet, Institutionen för systemteknik, Reglerteknik. Linköpings universitet, Tekniska fakulteten.ORCID-id: 0000-0002-1971-4295
2020 (engelsk)Inngår i: Proceedings of the 23rd International Conference on Information Fusion: Fusion 2020, Institute of Electrical and Electronics Engineers (IEEE), 2020, s. 1086-1093Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

A wearable microphone array platform is used tolocalize stationary sound sources and amplify the sound inthe desired directions using several beamforming methods. Theplatform is equipped with inertial sensors and a magnetometerallowing predictions of source locations during orientationchanges and compensation for the displacement in the arrayconfiguration. The platform is modular, open and 3D printedto allow for easy reconfiguration of the array and for reuse inother applications, e.g., mobile robotics. The software componentsare based on open source. A new method for source localizationand signal reconstruction using Taylor expansion of the signals isproposed. This and various standard and non-standard Directionof Arrival (DOA) methods are evaluated in simulation andexperiments with the platform to track and reconstruct multipleand single sources. Results show that sound sources can belocalized and tracked robustly and accurately while rotating theplatform and that the proposed method outperforms standardmethods at reconstructing the signals.

sted, utgiver, år, opplag, sider
Institute of Electrical and Electronics Engineers (IEEE), 2020. s. 1086-1093
Emneord [en]
LinDoA, Microphone Array, Prototype, Direction of Arrival, Source Separation
HSV kategori
Identifikatorer
URN: urn:nbn:se:liu:diva-167476DOI: 10.23919/FUSION45008.2020.9190480ISI: 000659928700145ISBN: 978-0-9964527-6-2 (tryckt)OAI: oai:DiVA.org:liu-167476DiVA, id: diva2:1453068
Konferanse
23rd International Conference on Information Fusion, virtual conference, Pretoria, South Africa, July 6-9, 2020
Prosjekter
Scalable Kalman Filters
Forskningsfinansiär
Swedish Research Council
Merknad

Funding: Oticon Foundation; Center for Industrial Information Technology at Linkoping University (CENIIT); Swedish Research CouncilSwedish Research CouncilEuropean Commission

Tilgjengelig fra: 2020-07-08 Laget: 2020-07-08 Sist oppdatert: 2021-10-07

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Veibäck, ClasSkoglund, MartinGustafsson, FredrikHendeby, Gustaf

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