关键词: 小波变换, 维纳滤波, 改进的最大分类错误

Abstract: The wavelet transform and Wiener filtering are combined in order to de-noise and Modified Maximum Classification Error（MMCE） is used for speaker recognition.Noisy signals are decomposed into different subband by Daubechies wavelet of three sizes.Then these signals are de-noised by Wiener filter in every subband.The output of every subband is resumed by wavelet reconstruction.Finally wavelet coefficient is transformed into MFCC.A kind of modified MCE model to decrease computer multiplications and further to enhance computer velocity is proposed.Experiment result shows that the proposed method can decrease the computation multiplications and improve the identification rate of the system.

Key words: wavelet transform, Wiener filtering, Modified Maximum Classification Error（MMCE）