基于MFCC特征的声纹同一性鉴定方法  

Identification Method of Voiceprint Identity Based on MFCC Features

作　　者：王学光[1] 诸珺文 张爱新[2] WANG Xue-guang;ZHU Jun-wen;ZHANG Ai-xin(Criminal Justice College,East China University of Political Science and Law,Shanghai 200052,China;School of Cyber Science and Engineering,Shanghai Jiao Tong University,Shanghai 200240,China)

机构地区：[1]华东政法大学刑事法学院,上海200052 [2]上海交通大学网络空间安全学院,上海200240

出　　处：《计算机科学》2021年第12期343-348,共6页Computer Science

基　　金：国家重点研发计划项目(2017YFB0802103)。

摘　　要：声纹作为当代司法鉴定技术发展的产物,在现代声像资料鉴定中发挥了至关重要的作用。传统的声纹分析方法是基于声音处理工具进行手工分析的,考虑到其具有严格的文本相关性以及比对的臆断性的缺点,其作为证据鉴定意见的证明力有待加强。文中提出了一种基于Mel频率倒谱系数的同一性鉴定方法,即提取并量化包含原始声音的共振峰及其时间轴信息的包络作为声纹特征进行同一性比对。此方法改进了传统Mel频率倒谱系数的不足,提取共振峰的突变并将元音与响辅音的转变特性加入声纹特征,以提高其识别度。实验证明,此方法在检材与样本无关的情况下,同一性鉴定的准确率达到了85%,方差控制在9%左右,具有良好的同一性识别;而在非同一性鉴定中,该方法也能在结合人工分析的情况下给出较准确的结果。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.

关 键 词：MFCC特征 MEL频率倒谱系数 同一性鉴定 证明力补强 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]