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Localization of Multiple Sources from a Binaural Head in a Known Noisy Environment

Alban Portello 1 Gabriel Bustamante 1 Patrick Danès 1 Alexis Mifsud 1
1 LAAS-RAP - Équipe Robotique, Action et Perception
LAAS - Laboratoire d'analyse et d'architecture des systèmes
Abstract : This paper presents a strategy to the localization of multiple sound sources from a static binaural head. The sources are supposed W-Disjoint Orthogonal and their number is assumed known. Their most likely azimuths are computed by means of the Expectation-Maximization algorithm. Application of the method on simulated data is reported, as well as some evaluations of its HARK implementation on experimental data. Two important properties are observed: scattering effects can be coped with, thanks to the required prior knowledge of the (room-independent) head interaural transfer function; the environment noise statistics are handled separately.
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Submitted on : Friday, January 4, 2019 - 12:03:41 AM
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  • HAL Id : hal-01969310, version 1


Alban Portello, Gabriel Bustamante, Patrick Danès, Alexis Mifsud. Localization of Multiple Sources from a Binaural Head in a Known Noisy Environment. IEEE/RSJ International Conference on Intelligent Robots and Systems, Sep 2014, Chicago, United States. ⟨hal-01969310⟩



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