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AUDIO ZOOM FOR SMARTPHONES BASED ON MULTIPLE ADAPTIVE BEAMFORMERS
Ngoc Q. K. Duong, Pierre Berthet, Sidkieta Zabre, Michel Kerdranvat, Alexey Ozerov, Louis Chevallier

AUDIO ZOOM FOR SMARTPHONES BASED ON MULTIPLE ADAPTIVE BEAMFORMERS

Science & Mathematics Published 2017 Verification Pending

Overview & Synopsis

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.

Indexed from repository: HAL Open Science (hal.science)
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Document Information

Document Title AUDIO ZOOM FOR SMARTPHONES BASED ON MULTIPLE ADAPTIVE BEAMFORMERS
Author / Organization Ngoc Q. K. Duong, Pierre Berthet, Sidkieta Zabre, Michel Kerdranvat, Alexey Ozerov, Louis Chevallier
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2017
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-228466
Original Source Link Visit Source Page on hal.science »