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Noise robustness of automatic speaker verification systems is crucial in real life applications. A study on the performance of several spectral subtraction-based speech enhancement techniques shows the poor performance of these algorithms when used as a preprocessing stage of the speaker verification system in the presence of colored noise. In this paper, a new technique based on the addition of modeled colored noise is introduced. Experimental results in both white and colored noise environments are presented, showing the improvement of the proposed scheme.