Adaptive weighting of subband-classifier responses for robust text-independent speaker recognition

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A new strategy for robust speaker recognition using multiple classifiers in the subband domain is presented. This approach relies on the computation of a basis for the null space to implement an adaptive combination of subband-classifier responses. The simulation results using speech corrupted by different types of environmental noises show that the proposed method significantly outperforms other techniques reported in the literature.