We present baseline results for the joint segmentation and classification of dialog acts (DAs) of the ICSI Meeting Corpus. Two simple approaches based on word information are inve...
Matthias Zimmermann, Yang Liu, Elizabeth Shriberg,...
Whilst there has been substantial research into technology to support meetings, there has been relatively little study of how meeting participants currently make records and how th...
The network of excellence HUMAINE is currently making a co-ordinated, interdisciplinary effort to develop a consistent view on emotion-oriented computing. This overview paper prop...
We show that, using a Support Vector Machine classifier, it is possible to determine with a 75% success rate who dominated a particular meeting on the basis of a few basic feature...
Abstract. This article describes a method for document/speech alignment based on explicit verbal references to documents and parts of documents, in the context of multimodal meetin...
Combining multiple information sources, typically from several data streams is a very promising approach, both in experiments and to some extents in various real-life applications....
In this paper, we present a multimodal discourse ontology that serves as a knowledge representation and annotation framework for the discourse understanding component of an artifi...
The TNO speaker speaker diarization system is based on a standard BIC segmentation and clustering algorithm. Since for the NIST Rich Transcription speaker dizarization evaluation m...