An Open-source State-of-the-art Toolbox for Broadcast News Diarization
Abstract
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.
Domains
Computation and Language [cs.CL]| Origin | Publisher files allowed on an open archive |
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