An increasing awareness of the scientific and technological value of the automatic
understanding of face-to-face social interaction has motivated in the past few years a surge …

While detecting and interpreting temporal patterns of nonverbal behavioural cues in a given
context is a natural and often unconscious process for humans, it remains a rather difficult …

Laughter is clearly an audiovisual event, consisting of the laughter vocalization and of facial
activity, mainly around the mouth and sometimes in the upper face. A major obstacle in …

Past research on automatic laughter classification/detection has focused mainly on audio-
based approaches. Here we present an audiovisual approach to distinguishing laughter …

This article presents experiments on automatic detection of laughter and fillers, two of the
most important nonverbal behavioral cues observed in spoken conversations. The proposed …

Laughter is a highly spontaneous behavior that frequently occurs during social interactions.
It serves as an expressive-communicative social signal which conveys a large spectrum of …

In this article, we study laughter found in child-robot interaction where it had not been
prompted intentionally. Different types of laughter and speech-laugh are annotated and …

We address the problem of continuous laughter detection over audio-facial input streams
obtained from naturalistic dyadic conversations. We first present meticulous annotation of …

The detection of laughter in conversational interaction presents an important challenge in
meeting understanding, important primarily because laughter is predictive of the emotional …

Laughter and fillers like “uhm” and “ah” are social cues expressed in human speech.
Detection and interpretation of such non-linguistic events can reveal important information …