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This contribution to acoustic source localization presents a robust approach verified with ten distributed microphones in a laboratory apartment under reverberant acoustic conditions. Based on the classical Steered Response Power PHAse Transform (SRP-PHAT) algorithm, three optional extensions are presented: a method for selecting suitable microphone pairs, a spatial Wiener-type filtering for the suppression of artifacts in the spatial likelihood function (stemming from background noise), and finally smoothing of the spatial likelihood function. Simulation results show a significant improvement compared to SRP-PHAT in all noise conditions.
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