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Compressed sensing for acoustic response reconstruction: Interpolation of the early part

Abstract : The goal of this paper is to interpolate Room Impulse Responses (RIRs) within a whole volume, from a few measurements. We here focus on the early reflections, that have the key property of being sparse in the time domain: this can be exploited in a framework of model-based Compressed Sensing. Starting from a set of RIRs randomly sampled in space by a 3D microphone array, we use a modified Matching Pursuit algorithm to estimate the position of a small set of virtual sources. Then, the reconstruction of the RIRs at interpolated positions is performed using a projection onto a basis of monopoles. This approach is validated both by numerical and experimental measurements using a 120-microphone 3D array.
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https://hal.inria.fr/hal-00766979
Contributor : Rémi Gribonval <>
Submitted on : Wednesday, December 19, 2012 - 12:09:07 PM
Last modification on : Wednesday, June 2, 2021 - 4:26:19 PM

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R. Mignot, L. Daudet, F. Ollivier. Compressed sensing for acoustic response reconstruction: Interpolation of the early part. Applications of Signal Processing to Audio and Acoustics (WASPAA), 2011 IEEE Workshop on, 2011, New Paltz, NY, United States. pp.225 -228, ⟨10.1109/ASPAA.2011.6082298⟩. ⟨hal-00766979⟩

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