Text-dependent speaker recognition method using MFCC and LPCC features
一种基于MFCC和LPCC的文本相关说话人识别方法

In the process of feature extraction of a text-dependent speaker recognition system,the difference of Mel Frequency Cepstrum Coefficient(MFCC) and Linear Prediction Cepstrum Coefficient(LPCC) was chosen to be the speech characteristic parameters,and in the process of speech modeling,a variance was added to the code word of Vector Qantization(VQ) and got continuous vector quantization,then compared it with Dynamic Time Warping(DTW) method and VQ method in text-dependent speaker recognition experiment.The results of identification show that the recognition efficiency is proved without any obvious increasing of responds time.