Deception detection using artificial neural network and support vector machine

Abstract

Lie detection, also called as deception detection, uses questioning techniques to ascertain truth and falsehood in response. In this paper, features of speech and physical values are used to ascertain truth and lie. The Mel frequency cepstrum coefficient, energy, zero crossing rate, fundamental frequency and frame function of speech signal and physical values like heart-beat, blood pressure and respiratory rate are used to model the linear detector model. The results are validated by support vector machine and artificial neural network.