GENERALIZED STOCHASTIC PRINCIPLE FOR MICROPHONE ARRAY SPEECH ENHANCEMENT AND APPLICATIONS TO CAR ENVIRONMENTS (FriPmOR1)

Author(s) : Radu Balan (Siemens Corporate Research, USA) Justinian Rosca (Siemens Corporate Research, USA) Christophe Beaugeant (Siemens AG, Germany) Virginie Gilg (Siemens AG, Germany) Tim Fingscheidt (Siemens AG, Germany)

Abstract : In this paper we present novel solutions for microphone array speech enhancement systems that intelligently use the multipath environment to enhance signal coming from a desired location. We obtain a statistical principle that explains previously known factorization results of optimal beamformers, and proves a similar factorization holds for other new optimal estimators. Our solution requires a low computational load, and can be deployed on most of the platforms. We present speech recognition rates on real data, and compare a stereo versus a mono solution on this database.

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