Learn to identify deceptive speech patterns through computational analysis in this lecture by Julia Hirschberg from Johns Hopkins University's Center for Language & Speech Processing. Explore the acoustic, prosodic, and linguistic features that distinguish truthful from deceptive speech, examining how vocal characteristics such as pitch, timing, and speech rate can reveal deception. Discover the challenges of building automated deception detection systems and understand the psychological and physiological mechanisms underlying deceptive communication. Examine real-world applications including forensic analysis, security screening, and interview assessment while considering the ethical implications and limitations of speech-based deception detection technology. Gain insights into machine learning approaches for classifying deceptive versus truthful speech samples and understand how cross-cultural and individual differences affect the reliability of deception detection algorithms.