AUDIO ZOOM FOR SMARTPHONES BASED ON MULTIPLE ADAPTIVE BEAMFORMERS

Abstract : Some recent smartphones have offered the so-called audio zoom feature which allows to focus sound capture in the front direction while attenuating progressively surrounding sounds along with video zoom. This paper proposes a complete implementation of such function involving two major steps. First, targeted sound source is extracted by a novel approach that combines multiple adaptive beam-formers having different look directions with a post-processing algorithm. Second, spatial zooming effect is created by leveraging the microphone signals and the enhanced target source. Subjective test with real-world audio recordings using a mock-up simulating an usual shape of the smartphone confirms the rich user experience obtained by the proposed system.
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Communication dans un congrès
13th International Conference on Latent Variable Analysis and Signal Separation, Feb 2017, Grenoble, France
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https://hal.inria.fr/hal-01288219
Contributeur : Ngoc Duong <>
Soumis le : mardi 15 mars 2016 - 11:03:21
Dernière modification le : mercredi 23 novembre 2016 - 10:57:02
Document(s) archivé(s) le : jeudi 16 juin 2016 - 10:38:38

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  • HAL Id : hal-01288219, version 1

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Ngoc Q. K. Duong, Pierre Berthet, Sidkieta Zabre, Michel Kerdranvat, Alexey Ozerov, et al.. AUDIO ZOOM FOR SMARTPHONES BASED ON MULTIPLE ADAPTIVE BEAMFORMERS. 13th International Conference on Latent Variable Analysis and Signal Separation, Feb 2017, Grenoble, France. 〈hal-01288219v1〉

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