SCENIC is an EC-funded project aimed at developing a harmonized corpus of methodologies for environment-aware acoustic sensing and rendering. The project focusses on space-time acoustic processing solutions that do not just accommodate the environment in the modeling process but that make the environment help towards achieving the goal at hand. The solutions developed within this project cover a wide range of applications, including acoustic self-calibration, aimed at estimating the parameters of the acoustic system; environment inference, aimed at identifying and characterizing all the relevant acoustic reflectors in the environment. The information gathered through such steps is then used to boost the performance of wavefield rendering methods as well as source localization/characterization/extraction in reverberant environments.
Annibale, Paolo; Antonacci, Fabio; Bestagini, Paolo; Brutti, Alessio; Canclini, Antonio; Cristoforetti, Luca; Filos, Jason; Habets, Emanuël; Kellerman, Walter; Kowalczyk, Konrad; Lombard, Anthony; Mabande, Edwin; Markovic, Dejan; Naylor, Patrick; Omologo, Maur
Affiliations: University of Erlangen, Erlangen, Germany; Politecnico di Milano, Milan, Italy; Fondazione Bruno Kessler—IRST, Trento, italy; Imperial College London, London, UK(See document for exact affiliation information.)
AES Convention: 131 (October 2011) Paper Number: 8485
Publication Date: October 19, 2011
Subject: Soundfield Analysis and Reproduction
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