关键词: 说话人识别, 梅尔频率倒谱系数, 小波包变换, Teager能量算子

Abstract: In speaker recognition system, the key factor is extracting a personality feature of the speaker. Based on analysis of MFCC parameter extraction, this paper constructs a hybrid parameter through combination of the low part of MFCC parameter and using the wavelet packet transform processing the high part of the signal, of which the Teager Energy Operator（TEO） is used. A Support Vector Machine（SVM） is used to do the classification work. Experimental data shows that the method is effective in raising the recognition rate.

Key words: speaker recognition, Mel Frequency Cepstrum Coefficient（MFCC）, wavelet packet transform, Teager Energy Operator（TEO）