Lest Mean Square (LMS) is adaptive noise cancellation method to extract weak voice signals from strong background noise. Due to the low convergence rate and narrow frequency band extracting signal of LMS, an improved Momentum Lest Mean Square (MLMS) algorithm is given in the paper by analyzing the performance of LMS algorithm. The results of simulations indicate that adaptive filter technology for solving weak signal extracting problem is effective.