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The AMI and AMIDA projects are concerned with the recognition and interpretation of multiparty meetings. Within these projects we have: developed an infrastructure for recording meetings using multiple microphones and cameras; released a 100 hour annotated corpus of meetings; developed techniques for the recognition and interpretation of meetings based primarily on speech recognition and computer vision; and developed an evaluation framework at both component and system levels. In this paper we present an overview of these projects, with an emphasis on speech recognition and content extraction.
Lucas Arnaud André Rappo, Rémi Guillaume Petitpierre, Marion Kramer
Petr Motlicek, Juan Pablo Zuluaga Gomez, Amrutha Prasad
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