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Linguistics Colloquium: Sarah Ita Levitan, Assistant Professor, Hunter College, CUNY

OCT 21, 2021 | 4:15 PM TO 6:00 PM



Online Event


October 21, 2021: 4:15 PM-6:00 PM




Sarah Ita Levitan, Assistand Professor of Computer Science, Hunter College  presents Acoustic-Prosodic and Lexical Cues to Deception and Trust in Spoken Dialogue

Linguistic Area: Computational Linguistics

Abstract:  Spoken language processing (SLP) aims to teach computers to understand human speech.  Automatic deception detection from speech is one of the few problems in AI where machines can potentially perform significantly better than humans, who can only detect lies about 50% of the time.  In this talk, I will discuss my work training computers to distinguish between deceptive and truthful speech using acoustic-prosodic and lexical features. I will also present research aimed at understanding the characteristics of trustworthy language.
My work combines machine learning with insights from psychology and linguistics to develop robust techniques to detect deceptive and trustworthy speech.  This work improves our scientific understanding of deception and trust, and has implications for security applications and for increasing trust in human-computer interaction