This paper describes a large scale experiment in which eight research institutions have tested their audio partitioning and labeling algorithms on the same data, a multi-lingual database of news broadcasts, using the same evaluation tools and protocols. The experiments have provide more insight in the cross-lingual robustness of the methods and they have demonstrated that by further collaborating in the domains of speaker change detection and speaker clustering it should be possible to achieve further technological progress in the near future.
Cite as: Zibert, J., Mihelic, F., Martens, J.-P., Meinedo, H., Neto, J., Docio, L., Mateo, C.G., David, P., Zdansky, J., Pleva, M., Cizmar, A., Zgank, A., Kacic, Z., Teleki, C., Vicsi, K. (2005) The COST278 broadcast news segmentation and speaker clustering evaluation - overview, methodology, systems, results. Proc. Interspeech 2005, 629-632, doi: 10.21437/Interspeech.2005-68
@inproceedings{zibert05_interspeech,
author={Janez Zibert and France Mihelic and Jean-Pierre Martens and Hugo Meinedo and Joao Neto and Laura Docio and Carmen Garcia Mateo and Petr David and Jindrich Zdansky and Matus Pleva and Anton Cizmar and Andrej Zgank and Zdravko Kacic and Csaba Teleki and Klara Vicsi},
title={{The COST278 broadcast news segmentation and speaker clustering evaluation - overview, methodology, systems, results}},
year=2005,
booktitle={Proc. Interspeech 2005},
pages={629--632},
doi={10.21437/Interspeech.2005-68}
}