Identification Method of Voiceprint Identity Based on MFCC Features

Abstract

As a product of the development of modern forensic technology,voiceprint plays an important role in modern audio-visual identification.The traditional voiceprint analysis method is based on the sound processing tools for manual analysis.Considering the shortcomings of strict text relevance and conjecture of comparison,its evidential power as evidence appraisal opinion needs to be strengthened.In this paper,a method of identification based on Mel frequency cepstrum coefficient is proposed,which is to extract and quantify the envelope containing the original sound formant and its time axis information as voiceprint features for identity comparison.This method improves the shortcomings of traditional Mel frequency cepstrum coefficient,which extracts the mutation of formant,and adds the transformation characteristics of vowels and consonants into voiceprint features to improve the correctness of recognition.Experiments show that the accuracy of identification is 85% and the variance is about 9% when the test material is independent of the sample text.Therefore,it has good identifiability for the same person identification of voiceprint.In the case of non same person identification of voiceprint,it proves to be far more accurate in combination with traditional manual analysis.

Keywords

• mfcc characteristics|mel frequency cepstrum coefficient|identity identification|proof force reinforcement