Robust speaker turn role labeling of TV Broadcast News shows

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.

• Type: Journal
• Year: 2011
• Where: ICASSP
• Authors: Géraldine Damnati, Delphine Charlet
• Keywords: ICASSP 2011, Role Labeling, Signal Processing, Speaker Role Recognition, Speech Recognition Output