Abstract:Speech exists additive noise which is the main reason for reduced MFCC robustness. Then reduced MFCC robustness makes the speaker verification system identification rate decreased. To solve the problem, multitaper technology is introduced, which is a little effective in improving the noise robustness of MFCC. To get a better result, we propose a improved multitaper MFCC extraction algorithm which combines multitaper and spectral subtraction methods. Multitaper technology improve the robustness of MFCC, then spectral subtraction method enhance the speech and reduce the effect of noise. Simulation results show that when the test speech contains the additive noise, new algorithm could achieve better result in EER and minDCF which are the evaluation index of speaker verification system.