Exploiting Speech Recognition Transcripts for Narrative Peak Detection in Short-Form Documentaries

Larson, Martha and Jochems, Bart and Smits, Ewine and Ordelman, Roeland (2010) Exploiting Speech Recognition Transcripts for Narrative Peak Detection in Short-Form Documentaries. In: 10th Workshop of the Cross-Language Evaluation Forum, CLEF 2009, September 30 - October 2, 2009, Corfu, Greece.

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Abstract:	Narrative peaks are points at which the viewer perceives a spike in the level of dramatic tension within the narrative ﬂow of a video. This paper reports on four approaches to narrative peak detection in television documentaries that were developed by a joint team consisting of members from Delft University of Technology and the University of Twente within the framework of the VideoCLEF 2009 Affect Detection task. The approaches make use of speech recognition transcripts and seek to exploit various sources of evidence in order to automatically identify narrative peaks. These sources include speaker style (word choice), stylistic devices (use of repetitions), strategies strengthening viewers’ feelings of involvement (direct audience address) and emotional speech. These approaches are compared to a challenging baseline that predicts the presence of narrative peaks at fixed points in the video, presumed to be dictated by natural narrative rhythm or production convention. Two approaches deliver top narrative peak detection results. One uses counts of personal pronouns to identify points in the video where viewers feel most directly involved. The other uses affective word ratings to calculate scores reflecting emotional language.
Item Type:	Conference or Workshop Item
Copyright:	© 2011 Springer
Faculty:	Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:	Human Media Interaction (HMI)
Link to this item:	http://purl.utwente.nl/publications/78253
Official URL:	http://dx.doi.org/10.1007/978-3-642-15751-6_50
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