A Maximum Latency Classifier for Listener Responses
Daniel Neiberg, Khiet P. Truong · Language and Technology Conference · 2010
When Listener Responses such as “yeah”, “right” or “mhm” are uttered in a face-to-face conversation, it is not uncommon for the interlocutor to continue to speak in overlap, i.e. before the Listener becomes silent. We propose a classifier which can classify incoming speech as a Listener Response or not before the talk-spurt ends. The classifier is implemented as an upgrade of the Embodied Conversational Agent developed in the SEMAINE project during the eNTERFACE 2010 workshop.