Title :
Model-free anchor speaker turn detection for automatic chapter generation in broadcast news
Author :
Delphine, Charlet
Author_Institution :
France Telecom Orange Labs., Lannion, France
Abstract :
This paper shows how speaker clustering can be used to automatically generate chapters in broadcast news programs, through the detection of anchor speaker turns, without any pre-calculated model of the anchor speaker. Speaker clustering is applied on each broadcast news program, and thanks to the specific structure of broadcast news, a cluster is chosen and assigned to the anchor speaker. That enables to automatically extract reports (those portions of broadcast news which are not from anchor speaker). Experiments performed on a specifically collected database of 38 French broadcast news programs show a F-measure of 89% for the anchor speaker speech detection and prove the interest of the approach.
Keywords :
broadcasting; pattern clustering; speaker recognition; speech synthesis; French broadcast; anchor speaker turn; automatic chapter generation; model free speaker detection; news program broadcast; speaker clustering; Clustering algorithms; Indexing; Multimedia communication; Multimedia databases; Parameter extraction; Scheduling; Smoothing methods; Speech processing; TV broadcasting; Telecommunications; automatic chapter generation; multimedia indexing; speaker clustering;
Conference_Titel :
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location :
Dallas, TX
Print_ISBN :
978-1-4244-4295-9
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2010.5495090
