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We address a problem of speech enhancement: recovering a speech source from a mixture of its delayed versions and additive noise. By using the constrained-optimization technique, the second order statistics based algorithm is developed. The new proposed algorithm requires no strong limitations to the speech signal and the noise. Simulation results show that our algorithm achieves a better performance as compared to other algorithms.