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Communication Dans Un Congrès Année : 2014

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

Résumé

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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Dates et versions

hal-01969310 , version 1 (04-01-2019)

Identifiants

  • HAL Id : hal-01969310 , version 1

Citer

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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