MFCC feature extraction of speech based on pitch period
基于基音周期的语音MFCC参数提取

This paper proposed a MFCC feature extraction method based on pitch period to improve the performance of speaker recognition.The original speech signals were decomposed into two parts: the speech within the length of multiple pitch periods and that out of the pitch period.The former part was reserved to minimize the spectral distortion.The improved MFCC feature extraction method was also used in the verification experiment of the text-independent speaker recognition.The result shows the recognition rate is improved.