Paper Info
Title
Step-by-step and integrated approaches in broadcast news speaker diarization
Abstract
This paper summarizes the collaboration of the LIA and CLIPS laboratories on speaker diarization of broadcast news during the spring NIST Rich Transcription 2003 evaluation campaign (NIST-RT’03S). The speaker diarization task consists of segmenting a conversation into homogeneous segments which are then grouped into speaker classes.
Year
DOI
Venue
2006
10.1016/j.csl.2005.08.002
Computer Speech & Language
Keywords
Field
DocType
Speaker indexing,Speaker segmentation and clustering,Speaker diarization,E-HMM,Integrated approach,Step-by-step approach
Speech processing,Broadcasting,Computer science,Segmentation,Computational linguistics,A priori and a posteriori,Speech recognition,NIST,Speaker diarisation,Cluster analysis
Journal
Volume
Issue
ISSN
20
2
0885-2308
Citations 
PageRank 
References 
50
2.70
11
Authors
5
Name
Order
Citations
PageRank
Sylvain Meignier165049.58
Daniel Moraru210112.80
corinne fredouille353744.53
Jean-François Bonastre419712.74
laurent besacier5696102.67