Deception detection in speech using bark band and perceptually significant energy features
Muhammad Sanaullah, Kaliappan Gopalan · 2013
This paper presents the initial results of analysis of nonlinear spectral features for classifying truthful and deceptive speech. These features are derived on a Bark scale based on the psychoacoustic masking property of human speech perception. Truthful and deceptive speeches are established a posteriori by a male speaker under jeopardy. Test results using significant energy features at Bark bands and a neural network have a potential to show delicate variations between truthful and deceptive utterances.