Multimodal Lie Detection Using Speech and Video with Deep Neural Networks

Automated lie detection represents an emerging field at the intersection of artificial intelligence, psychology, and security. Traditional methods, such as polygraphs and voice stress analysis, are often intrusive, subjective, and prone to errors. This paper proposes a multimodal deep neural network that integrates both auditory and visual modalities to improve deception detection. Our approach wi…