- Recherche et sélection de publications
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Sketching for nearfield acoustic imaging of heavy-tailed sources
- Mathieu Fontaine #1, Charles Vanwynsberghe #2, Antoine Liutkus #1, Roland Badeau #3
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| #1 |
INRIA Nancy - Grand Est
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| #2 |
Institut Jean Le Rond d'Alembert (IJLRA)
- Université Pierre et Marie Curie - Paris 6
- Centre National de la Recherche Scientifique
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| #3 |
Laboratoire traitement et communication de l'information (LTCI)
- Télécm ParisTech
- Institut Mines-Télécom
- Université Paris-Saclay
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- References
- 13th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA 2017), Grenoble, France, February 2017, vol. LNCS 10169, pp. 80--88
- Abstract
We propose a probabilistic model for acoustic source localization with known but arbitrary geometry of the microphone array. The approach has several features. First, it relies on a simple nearfield acoustic model for wave propagation. Second, it does not require the number of active sources. On the contrary, it produces a heat map representing the energy of a large set of candidate locations, thus imaging the acoustic field. Second, it relies on a heavy-tail alpha-stable probabilistic model, whose most important feature is to yield an estimation strategy where the multichannel signals need to be processed only once in a simple on- line procedure, called sketching. This sketching produces a fixed-sized representation of the data that is then analyzed for localization. The resulting algorithm has a small computational complexity and in this paper, we demonstrate that it compares favorably with state of the art for localization in realistic simulations of reverberant environments.
- Keywords
- Category
- Paper in proceedings
- Research Area(s)
- Engineering Sciences/Signal and Image processing
- Identifier(s)
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Bibliographic key MF:LVAICA-17
- File(s)
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- Last update
- on march 20, 2017 by Roland Badeau
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