Abstract: A speech enhancement method using the Direction of Arrival(DOA) to initialize Expectation-Maximization(EM) algorithm is proposed,which can improve the mask estimation performance based on the spatial mixture probabilistic model.DOA is estimated to construct the relative transfer function,and then initializes the spatial covariance matrix It is demonstrated that the probability distribution of the spatial mixture probability model will reach the maximum value when the relative transfer function serves as the main eigenvector of the speech covariance matrix,which makes the EM algorithm easier to converge to obtain the desired mask value.The experiment is verified with the Word Error Rate(WER) on a simulated two-channel dataset and the two-channel part of the CHiME4 dataset.The result shows that directional information improves the speech enhancement performance,reduces the WER by 3.79%,and improves the SDR by 2.00 dB the most.