Identification of Electronic Disguised Voices in the Noisy Environment

Cao, Wencheng1; Wang, Hongxia1; Zhao, Hong2; Qian, Qing1; Abdullahi, Sani M.1

10.1007/978-3-319-53465-7_6

2017

16113349

1611-3349

DIGITAL FORENSICS AND WATERMARKING, IWDW 2016

10082

75-87

Beijing, China

GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND

SPRINGER INTERNATIONAL PUBLISHING AG

Since voice disguise has been an increasing tendency in illegal application, which brings great negative impact on establishing the authenticity of audio evidence for audio forensics, especially in noisy environment. Thus it is very important to have the capability of identifying whether a suspected voice has been disguised or not. However, few studies about identification in noisy environment have been reported. In this paper, an algorithm based on linear frequency cepstrum coefficients (LFCC) statistical moments and Formant statistical moments is proposed to identify such condition. First, LFCC statistical moments including mean values and variance unbiased estimation values, and Formant statistical moments including mean values are extracted as acoustic features, and then Support vector machine (SVM) classifiers are used to separate disguised voices from original voices. Experimental results verify the excellent performance of the proposed scheme in the noisy environment.

Identification Electronic disguised voices LFCC Formant Noisy environment SVM

其他

英语

CPCI-S ; EI

National Natural Science Foundation of China[61402219]

Computer Science

Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods

WOS:000419057000006

20170803381648

Digital forensics ; Electronic crime countermeasures ; Identification (control systems) ; Support vector machines

Computer Software, Data Handling and Applications:723 ; Control Systems:731.1 ; Speech:751.5

Web of Science

1.Southwest Jiaotong Univ, Sch Informat Sci & Technol, Chengdu, Sichuan, Peoples R China
2.South Univ Sci & Technol China, Dept Elect & Elect Engn, Shenzhen, Peoples R China

Cao, Wencheng,Wang, Hongxia,Zhao, Hong,et al. Identification of Electronic Disguised Voices in the Noisy Environment[C]. GEWERBESTRASSE 11, CHAM, CH-6330, SWITZERLAND:SPRINGER INTERNATIONAL PUBLISHING AG,2017:75-87.