Introducing MULAI: A Multimodal Database of Laughter during Dyadic Interactions

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Abstract

Although laughter has gained considerable interest from a diversity of research areas, there still is a need for laughter specific databases. We present the Multimodal Laughter during Interaction (MULAI) database to study the expressive patterns of conversational and humour related laughter. The MULAI database contains 2 hours and 14 minutes of recorded and annotated dyadic human-human interactions and includes 601 laughs, 168 speech-laughs and 538 on- or offset respirations. This database is unique in several ways; 1) it focuses on different types of social laughter including conversational- and humour related laughter, 2) it contains annotations from participants, who understand the social context, on how humourous they perceived themselves and their interlocutor during each task, and 3) it contains data rarely captured by other laughter databases including participant personality profiles and physiological responses. We use the MULAI database to explore the link between acoustic laughter properties and annotated humour ratings over two settings. The results reveal that the duration, pitch and intensity of laughs from participants do not correlate with their own perception of how humourous they are, however the acoustics of laughter do correlate with how humourous they are being perceived by their conversational partner
Original languageEnglish
Title of host publicationProceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020)
PublisherEuropean Language Resources Association (ELRA)
Pages4333-4342
Publication statusPublished - 16 May 2020
Event12th Language Resources and Evaluation Conference, LREC 2020 - Palais du Pharo, Marseille, France
Duration: 11 May 202016 May 2020
Conference number: 12
https://lrec2020.lrec-conf.org/en/

Conference

Conference12th Language Resources and Evaluation Conference, LREC 2020
Abbreviated titleLREC
CountryFrance
CityMarseille
Period11/05/2016/05/20
Internet address

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