计算机技术与发展2017，Vol.27Issue(1)：103-106,4.DOI:10.3969/j.issn.1673-629X.2017.01.023
基于GMM统计特性的电子伪装语音鉴定研究
Research on Identification of Electronic Disguised Voice Based on GMM Statistical Parameters
摘要
Abstract
With the development of digital multimedia technology,digital information has been widely used and spread,which brings great convenience to human communication. Speech related technology gradually becomes mature,and its application is more and more exten-sive. This kind of information is easy to be modified,so that it is facing a serious crisis of malicious tampering. In recent years,a large number of software appear in mobile phone application store,such as Wechat Voice Changer,Super Voice Changer and so on,which can change the speaker’ s voice a lot. As a result,the listener cannot identify the speaker’ s age and sex,even they are familiar. A novel algo-rithm for identification of electronic disguised voice is put forward based on supervector combined by mean vectors of Gaussian mixture model and SVM classifier for training and identification. By comparing the statistical change of MFCC between nature and disguised voice,the variation of voice parameters is studied. Experimental results show that the identification rate can reach 90%.关键词
变声软件/电子伪装语音/梅尔倒谱系数/支持向量机/高斯混合模型Key words
voice changer/electronic disguised voice/MFCC/SVM/GMM分类
信息技术与安全科学引用本文复制引用
李燕萍,林乐,陶定元..基于GMM统计特性的电子伪装语音鉴定研究[J].计算机技术与发展,2017,27(1):103-106,4.基金项目
国家自然科学基金资助项目(61401227) （61401227）
江苏省博士后基金(1402067B) （1402067B）
智能语音技术公安部重点实验室2014年度开放课题(2014ISTKFKT02) （2014ISTKFKT02）
