Robust speaker turn role labeling of TV Broadcast News shows
2011pp. 5684–5687
Citations Over TimeTop 10% of 2011 papers
Abstract
Speaker role recognition in TV Broadcast News shows is addressed in this paper with a particular focus on speaker turn role labeling. A mixed approach combining speaker clustering and analysis of Automatic Speech Recognition output is proposed for assigning speaker turns a role among: anchor, reporter and other. 86% classification accuracy is obtained for automatically segmented speaker turns on a 6.5 hours test corpus of 14 TVBN shows mixing news and conversational speech.
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