Abstract: This paper develops a 2D wiener filter of speech enhancement methods，which can make use of the information between frames because of the speech signals’ short-time stationary and the overlap of frames.This method filters the blocks formed of frames and windowed by 2D window.Then the target signal samples are smoothed in local.Experiment on the TIMIT database using speech data added with white noise shows that，the 2D wiener can improve the speech SNR much more，than the 1D case.And there is less residual musical noise，because the MOS scores increase 13.8%.