An open-source state-of-the-art toolbox for broadcast news diarization

Mickael Rouvier, Grégor Dupuy, Paul Gay, Elie Khoury, Teva Merlin, Sylvain Meignier

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.

doi: 10.21437/Interspeech.2013-383

Cite as: Rouvier, M., Dupuy, G., Gay, P., Khoury, E., Merlin, T., Meignier, S. (2013) An open-source state-of-the-art toolbox for broadcast news diarization. Proc. Interspeech 2013, 1477-1481, doi: 10.21437/Interspeech.2013-383

@inproceedings{rouvier13_interspeech,
  author={Mickael Rouvier and Grégor Dupuy and Paul Gay and Elie Khoury and Teva Merlin and Sylvain Meignier},
  title={{An open-source state-of-the-art toolbox for broadcast news diarization}},
  year=2013,
  booktitle={Proc. Interspeech 2013},
  pages={1477--1481},
  doi={10.21437/Interspeech.2013-383}
}