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Abstract
This paper investigates prosodic aspects of turn-taking in conversation with aview to improving the efficiency of identifying relevant places at which a machinecan legitimately begin to talk to a human interlocutor. It examines the relationshipbetween interaction control, the communicative function of which is to regulatethe flow of information between interlocutors, and its phonetic manifestation.Specifically, the listener’s perception of such interaction control phenomena ismodelled. Algorithms for automatic online extraction of prosodic phenomenaliable to be relevant for interaction control, such as silent pauses and intonationpatterns, are presented and evaluated in experiments using Swedish map taskdata. We show that the automatically extracted prosodic features can be used toavoid many of the places where current dialogue systems run the risk of interrupt-ingtheir users, as well as to identify suitable places to take the turn.
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© 2006 S. Karger AG, Basel
