AI classification of genuine laughter versus polite laughter

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.

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Publication Details

Journal
The Journal of the Acoustical Society of America
Published
2025-04-01
DOI
https://doi.org/10.1121/10.0037443
Primary Topic
Sentiment Analysis and Opinion Mining
Type
article
Field-Weighted Citation Impact
0.00
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article

AI classification of genuine laughter versus polite laughter

Jocelynn Cu, Karen Lok Yi Wong, Merlin Teodosia Suarez, Hesheng Xia et al.
The Journal of the Acoustical Society of America
Sentiment Analysis and Opinion Mining
article

AI classification of genuine laughter versus polite laughter

Jocelynn Cu, Karen Lok Yi Wong, Merlin Teodosia Suarez, Hesheng Xia, Yue I. Wu
article en

Abstract

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.

The Journal of the Acoustical Society of AmericaVol. 157(4_Supplement)
Sichuan University (CN), La Salle University (US), De La Salle University (PH)
Openalex Percentile: Top 90%
Sentiment Analysis and Opinion Mining
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