An Open-source State-of-the-art Toolbox for Broadcast News Diarization

被引：0
|
作者：
Rouvier, Mickael [1 ]
Dupuy, Gregor [1 ]
Gay, Paul [1 ]
Khoury, Elie [1 ]
Merlin, Teva [1 ]
Meignier, Sylvain [1 ]
机构：
[1] LUNAM Univ, LIUM, Le Mans, France
来源：
14TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2013), VOLS 1-5 | 2013年
关键词：
speaker diarization; broadcast news; open-source; SPEAKER DIARIZATION;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents the LIUM open-source speaker diarization toolbox, mostly dedicated to broadcast news. This tool includes both Hierarchical Agglomerative Clustering using well-known measures such as BIC and CLR, and the new ILP clustering algorithm using i-vectors. Diarization systems are tested on the French evaluation data from ESTER, ETAPE and REPERE campaigns.
引用
收藏
页码：1476 / 1480
页数：5
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