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Content Provider | IEEE Xplore Digital Library |
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Author | Reiter, S. Schreiber, S. Rigoll, G. |
Copyright Year | 2005 |
Description | Author affiliation: Inst. for Human-Machine Commun., Technische Univ. Munchen, Munich, Germany (Reiter, S.; Schreiber, S.; Rigoll, G.) |
Abstract | This paper encompasses the analysis of meetings for segmentation into sub-genres. Therefore, an approach on a higher semantic level has been chosen. The algorithms make use of the results of specialized recognizers like a speaker turn detector and a gesture recognizer. Basically, the goal of this investigation was to answer the question, how well meeting analysis is possible if only the results of these recognizers are available. After introducing briefly the basics of these recognizers, two slightly different methods for the segmentation are presented. The results show the potential of the used methods to find the segment boundaries and to categorize the detected segments into sub-genres (also called meeting events or group actions). Based on this segmentation, further analysis regarding topic detection and content extraction can be accomplished. |
Sponsorship | IEEE Signal Processing Soc |
File Size | 1905006 |
File Format | |
ISBN | 0780388747 |
ISSN | 15206149 |
DOI | 10.1109/ICASSP.2005.1415366 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2005-03-23 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Video recording Speech Microphone arrays Man machine systems Detectors Event detection Minutes Protocols Watches Teleconferencing |
Content Type | Text |
Resource Type | Article |
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