MULTI-MICROPHONE NOISE REDUCTION USING GSVD-BASED OPTIMAL FILTERING WITH ANC POSTPROCESSING STAGE

Recently a signal enhancement technique, based on a generalized singular value decomposition (GSVD), has been proposed for acoustic noise reduction in multimicrophone speech signals. In this paper a postprocessing stage for this GSVD-based signal enhancement technique is discussed. Using the GSVD-based optimal filtering technique it is possible to create a ‘speech reference’ and a ‘noise reference’. These references can then be used in an adaptive noise cancellation (ANC) algorithm. It is shown that this ANC postprocessing stage gives rise to an additional SNR-improvement. Simulations show that the GSVD-based optimal filtering technique with ANC postprocessing stage has a better noise reduction performance than standard adaptive beamforming algorithms for all reverberation times.

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