This paper analyses the performance of several automatic speaker recognition systems using a real forensic database. The systems evaluated have been tested or are currently in use by forensic institutes. A comprehensive error analysis is performed in order to assess the each system's behaviour to real casework. We further investigate compensation techniques aimed at minimising the performance gap between laboratory development and application on real forensic data. While unrestricted application of automatic systems in the forensic domain is still not a reality, our experiments suggest that automatic systems can be a valuable support in decisionmaking for the forensic examiner.
Cite as: Solewicz, Y.A., Becker, T., Jardine, G., Gfroerer, S. (2012) Comparison of speaker recognition systems on a real forensic benchmark. Proc. The Speaker and Language Recognition Workshop (Odyssey 2012), 86-91
@inproceedings{solewicz12_odyssey,
author={Yosef A. Solewicz and Timo Becker and Gaëlle Jardine and Stefan Gfroerer},
title={{Comparison of speaker recognition systems on a real forensic benchmark}},
year=2012,
booktitle={Proc. The Speaker and Language Recognition Workshop (Odyssey 2012)},
pages={86--91}
}