Abstract: In order to improve the speaker recognition accuracy, the auditory characteristics of human are simulated by the power-law nonlinear function,and the new Mel frequency cepsral coefficients (MFCC) and its difference, weighted cepstral coefficients are obtained. The new characteristic values are analized from two angels that are increasing components and decreasing components, the vector with high contribution is drawn from it and new hybrid parameters are composed of them. GMM is used to recognize the speakers in four kinds of conditions which are pure speech and three kinds of typical noise background. Compared with the traditional of MFCC,New MFCC has improved the recognition rote and robustress.