Two new works accepted at Interspeech 2022:

• G.Rennie, O.Perepelkina and A.Vinciarelli, “Which Model is Best: Comparing Methods and Metrics for Automatic Laughter Detection in a Naturalistic Conversational Dataset“, Proceedings of Interspeech, 2022.
• A.Bîrlădeanu, H.Minnis and A.Vinciarelli, “Automatic Detection of Reactive Attachment Disorder Through Turn-Taking Analysis in Clinical Child-Caregiver Sessions“, Proceedings of Interspeech, 2022.

Both works gave me the possibility to explore new topics and to collaborate with new students and colleagues. The first work deals with a problem that was addressed for the last 10 years at least, but it is still challenging because of the lack of realistic data. Not surprisingly, the key-point of the work is exactly that we experiment on one of the biggest databases ever (several hundreds of spontaneous laughter events). The. second work deals with an elusive and neglected child psychiatry pathology, i.e., the Reactive Attachment Disorder (RAD). It turns out to be another approach based in the analysis of the turn-taking (the way people exchange the floor in conversations), one of the phenomena I analyzed most in he last 15 years. Despite its relative simplicity, turn-taking confirms to be a reliable source of information.