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 beamformers 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.
CITATION STYLE
Duong, N. Q. K., Berthet, P., Zabre, S., Kerdranvat, M., Ozerov, A., & Chevallier, L. (2017). Audio zoom for smartphones based on multiple adaptive beamformers. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10169 LNCS, pp. 121–130). Springer Verlag. https://doi.org/10.1007/978-3-319-53547-0_12
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