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.
Bibliographic reference. Rouvier, Mickael / Dupuy, Grégor / Gay, Paul / Khoury, Elie / Merlin, Teva / Meignier, Sylvain (2013): "An open-source state-of-the-art toolbox for broadcast news diarization", In INTERSPEECH-2013, 1477-1481.