Prosody based voice forgery detection using SVM

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.