Voice Recognition(VR) is defined to confirm whether the speaker is in the registered union automatically

and who the speaker is

by analyzing the voice of speakers.In this paper

a new algorithm based on feature extractions is proposed

which runs on the way of template-matching and takes the way of combining three different ways: FFT、 RBZ and GMM.What the most crucial is getting the variances of every sample with the priority assigned to the other methods.We can compare the variances between every sample and confirmed templates

the visitor identity can be recognized by the minimum variance.