Abstract: Aiming at the problem of lowering recognition performance in noisy speech environment, a dual-mini mi-crophone array speech enhancement algorithm is proposed for the front-end processing of recognition system. The speech enhancement algorithm based on Coherent Filter and MVDR-wiener is presented. First, the dual-mini microphone array signals are collected to derive the coherence function between adjacent channels and to carry out the initial noise suppression by using the coherence between elements. Then, the information of target speech is processed by the broad-band MVDR algorithm to keep the signal in the desired sound source direction and suppress the interference signals in other directions. The improved Wiener filter which can get better voice quality by removing residual noise is utilized to process the enhanced signal. Finally, a speaker recognition system using Mel frequency cepstral coefficients (MFCC) and GFCC for feature extraction is used to recognize the enhanced speech. Binaural data are acquired with acoustic artificial head in simulations, the experimental results show that the speech enhancement algorithm can obtain better enhanced effect in noisy environment and effectively improve the recognition rate.