Automatic Segmentation and Summarization of Meeting Speech

Gabriel Murray, Pei-yun Hsueh, Simon Tucker, Jonathan Kilgour, Jean Carletta, Johanna D. Moore, Steve Renals

Research output: Chapter in Book/Report/Conference proceedingConference contribution


AMI Meeting Facilitator is a system that performs topic segmentation and extractive summarisation. It consists of three components: (1) a segmenter that divides a meeting into a number of locally coherent segments, (2) a summarizer that selects the most important utterances from the meeting transcripts, and (3) a compression component that removes the less important words from each utterance based on the degree of compression the user specified. The goal of the AMI Meeting Facilitator is two-fold: first, we want to provide sufficient visual aids for users to interpret what is going on in a recorded meeting; second, we want to support the development of downstream information retrieval and information extraction modules with the information about the topics and summaries in meeting segments.
Original languageEnglish
Title of host publicationHuman Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, April 22-27, 2007, Rochester, New York, USA
Number of pages2
Publication statusPublished - 2007


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