Learning Co-Occurrence of Laughter and Topics in Conversational Interactions
Kristiina Jokinen, Junpei Zhong · 2020
This paper describes experiments to learn laughter co-occurrences with dialogue contributions. The dialogue data belongs to the special type of First Encounter Dialogues where the interlocutors meet each other for the first time and where laughter mainly functions as a sign of politeness or relief of embarrassment. The earlier studies have shown that there is a correlation between the speaker's utterance content (topic) and non-verbal communication (laughter and body movement) while in this paper we seek to learn the correlations via a neural model. The results show that there seems to be a weak correlation in our data.