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Robust speaker turn role labeling of TV Broadcast News shows
2011
2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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. Index Terms-Speaker
doi:10.1109/icassp.2011.5947650
dblp:conf/icassp/DamnatiC11
fatcat:q4xfekeq6rgv7ezidqea3shhsm