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In this paper, the concept of an adaptation algorithm is proposed, which canbe used to blindly adapt the microphone array geometry of a humanoid robot suchthat the performance of the underlying signal separation algorithm is improved.As a decisive feature, an online performance measure for blind sourceseparation is introduced which allows a robust and reliable estimation of theinstantaneous separation performance based on currently observable data.Experimental results from a simulated environment confirm the efficacy of theconcept.

Improving Blind Source Separation Performance By Adaptive Array Geometries For Humanoid Robots