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Automatic analysis of multiparty meetings

Research output: Contribution to journalArticle

Original languageEnglish
Pages (from-to)917-932
Number of pages16
JournalSadhana - Academy Proceedings in Engineering Sciences
Volume36
Issue number5
DOIs
Publication statusPublished - 1 Oct 2011

Abstract

This paper is about the recognition and interpretation of multiparty meetings captured as audio, video and other signals. This is a challenging task since the meetings consist of spontaneous and conversational interactions between a number of participants: it is a multimodal, multiparty, multistream problem. We discuss the capture and annotation of the Augmented Multiparty Interaction (AMI) meeting corpus, the development of a meeting speech recognition system, and systems for the automatic segmentation, summarization and social processing of meetings, together with some example applications based on these systems.

    Research areas

  • Augmented Multiparty Interaction (AMI) corpus, multimodal interaction, multiparty meetings, segmentation, Speech recognition, summarization

ID: 112494868