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Interpreting Multimodal Communication Scenes

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If you have a question about this talk, please contact Dr Marcus Tomalin .

The AMI project is about interpreting human communication using audio, video and other signals, in the context of multiparty meetings. This is an interdisciplinary problem involving signal processing and machine learning (how to make sense of multimodal communication scenes), understanding the content of the recognised signals, and developing useful applications.

In this talk I shall discuss some of the work we have been doing to automatically annotated and interpret multimodal meeting recordings. Specific issues that I’ll discuss include the use of multistream statistical models to segment meetings at different levels (dialogue acts and ``meeting actions’‘) and approaches to meeting summarisation.

This talk is part of the Machine Intelligence Laboratory Speech Seminars series.

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