AI classification of genuine laughter versus polite laughter
Huanxi Xia, Jocelynn Cu, Kainam T. Wong, Merlin Teodosia Suarez, Yue I. Wu · The Journal of the Acoustical Society of America · 2025
Emotion is central to interpersonal communication and is often disclosed by non-linguistic vocal bursts of laughter—spontaneous, semi-involuntary, even uncontrollable and insuppressible. Laughter categories (e.g., genuine delight, polite agreeableness) can provide practical insights into persons who are inarticulate or duplicitous. This research employs artificial intelligence to classify audio samples of laughter. This research identifies which “features” (and feature combinations) are efficacious and which are not.