Prosody based voice forgery detection using SVM

Author

Renjith, S. ; Mary, Leena ; Babu, K. K. Anish ; Joseph, Alvin ; George, Gibin M.

Author_Institution

Dept. of Electron. & Commun. Eng., Rajiv Gandhi Inst. of Technol., Kottayam, India

fYear

2013

fDate

13-15 Dec. 2013

Firstpage

527

Lastpage

530

Abstract

Speaker recognition has many applications such as access control, person authentication systems, forensics etc. In forensic applications, questioned recording may be received through different channels, noisy conditions and with cases of voice forgery, which make speaker recognition a challenging task. State of the art speaker recognition systems use spectral features which are susceptible to channel mismatch and noises. In this paper we present a novel voice forgery detection system based on prosodic features using Support Vector Machines (SVM). The effectiveness of the proposed method is illustrated on a database collected from professional mimicry artists.

Keywords

signal denoising; signal detection; speaker recognition; support vector machines; SVM; channel mismatch; database; noisy conditions; professional mimicry artists; prosodic features; prosody based voice forgery detection; speaker recognition; spectral features; support vector machines; Bayes methods; Databases; Feature extraction; Forensics; Speaker recognition; Speech; Support vector machines;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Communication and Computing (ICCC), 2013 International Conference on

Conference_Location

Thiruvananthapuram

Print_ISBN

978-1-4799-0573-7

Type

conf

DOI

10.1109/ICCC.2013.6731711

Filename

6731711