Research of adaptive speech separation method based on speech status detection

A new adaptive signal processing scheme based on the detection of the speech status is proposed to solve the problem of speech separation. The proposed method automatically determines the speech status of different speakers efficiently and controls the adaptive processing according to the different speech status, therefore, the transfer function of each acoustic path can be estimated more precisely, leading to improved speech separation results. The simulation results demonstrate the superiority of the proposed algorithm over the conventional method which uses the mixed signals as the reference signal mutually, and the main reason is that the deterioration of the speech separation results caused by the impurity of the reference signal is avoided. Furthermore, the real-time implementation of the algorithm is promising because there is no necessity of reducing the convergence rate to guarantee the stability and the computation burden increase is within a tolerable range.