In the speaker recognition system

the extraction of characteristic parameters directly affects the final recognition efficiency.The study analyzed Mel frequency cepstrum coefficient characteristic parameter

improved the function of weighted Mel frequency cepstrum coefficient

and mixed the improved weighted Mel frequency cepstrum coefficient reflecting individual voice characteristics and differential Mel frequency cepstrum coefficient reflecting the voice changes between frames.The experimental results show that the mixed parameters of weighted Mel frequency cepstrum coefficient from the improved function and differential Mel frequency cepstrum coefficient makes the recognition rate of 100% when codebook-size of vector quantization is 16 or 32.