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Modeling Human Interaction in Meetings
Type of publication: Conference paper
Citation: mccowan-rr-02-59b
Booktitle: Proceedings of International Conference on Acoustics, Speech and Signal Processing
Year: 2003
Month: 4
Address: Hong Kong
Note: IDIAP-RR 02-59
Crossref: mccowan-rr-02-59:
Abstract: This paper investigates the recognition of group actions in meetings by modeling the joint behaviour of participants. Many meeting actions, such as presentations, discussions and consensus, are characterised by similar or complementary behaviour across participants. Recognising these meaningful actions is an important step towards the goal of providing effective browsing and summarisation of processed meetings. In this work, a corpus of meetings was collected in a room equipped with a number of microphones and cameras. The corpus was labeled in terms of a predefined set of meeting actions characterised by global behaviour. In experiments, audio and visual features for each participant are extracted from the raw data and the interaction of participants is modeled using HMM-based approaches. Initial results on the corpus demonstrate the ability of the system to recognise the set of meeting actions.
Userfields: ipdmembership={speech}, language={English},
Projects Idiap
Authors McCowan, Iain A.
Bengio, Samy
Gatica-Perez, Daniel
Lathoud, Guillaume
Monay, Florent
Moore, Darren
Wellner, Pierre
Bourlard, Hervé
Added by: [UNK]
Total mark: 0
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