document: Geometric source separation : merging convolutive source separation with geometric beamforming Convolutive blind source separation and adaptive beamforming have a similar goal-extracting a source of interest -LRB- or multiple sources -RRB- while reducing undesired interferences . A benefit of source separation is that it overcomes the conventional cross-talk or leakage problem of adaptive beamforming . Beamforming on the other hand exploits geometric information which is often readily available but not utilized in blind algorithms . We propose to join these benefits by combining cross-power minimization of second-order source separation with geometric linear constraints used in adaptive beamforming . We find that the geometric constraints resolve some of the ambiguities inherent in the independence criterion such as frequency permutations and degrees of freedom provided by additional sensors . We demonstrate the new method in performance comparisons for actual room recordings of two and three simultaneous acoustic sources
doc_bio_tags: B I I O O O O O O B I B I I I O B I O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B I O B I O O O O O O O O O O O O O O O O O O B I O O O O O O O O O O O O O O O O B I I O O B I O O O O O O O O O O O O O O O O O O O B I O B I I O O O B O O O O O O O O O O O B I O O O O O B I
extractive_keyphrases: geometric source separation geometric beamforming convolutive blind source separation adaptive beamforming leakage problem blind algorithms geometric linear constraints frequency permutations degrees of freedom sensors room recordings acoustic sources
abstractive_keyphrases: cross-talk cross-power minimization second-order source separation