Are You Being Addressed ? - real-time addressee detection to support remote participants in hybrid meetings
Abstract
A meeting assistant for (remote) participants in hybrid meetings has been developed. The agent has to follow the conversations in the meeting to see if his buddy is being addressed. This paper presents the experiments that have been performed to develop machine classifiers to decide if You are being addressed where You refers to a fixed (remote) participant in a meeting. The experimental results back up the choices made regarding the selection of data, features, and classification methods. We discuss variations of the addressee classification problem that have been considered in the literature and how suitable they are for addressing detection in a system that plays a role in a live meeting.
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