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Sketching for nearfield acoustic imaging of heavy-tailed sources

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.
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Contributor : Roland Badeau <>
Submitted on : Monday, March 20, 2017 - 6:01:11 PM
Last modification on : Monday, December 14, 2020 - 3:41:50 PM


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Mathieu Fontaine, Charles Vanwynsberghe, Antoine Liutkus, Roland Badeau. Sketching for nearfield acoustic imaging of heavy-tailed sources. 13th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA 2017), Feb 2017, Grenoble, France. pp.80-88, ⟨10.1007/978-3-319-53547-0_8⟩. ⟨hal-01401988⟩



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