We introduce the DET Curve as a means of representing performance on detection tasks that involve a tradeoff of error types. We discuss why we prefer it to the traditional ROC Curve and offer several examples of its use in speaker recognition and language recognition. We explain why it is likely to produce approximately linear curves. We also note special points that may be included on these curves, how they are used with multiple targets, and possible further applications.
Cite as: Martin, A., Doddington, G., Kamm, T., Ordowski, M., Przybocki, M. (1997) The DET curve in assessment of detection task performance. Proc. 5th European Conference on Speech Communication and Technology (Eurospeech 1997), 1895-1898, doi: 10.21437/Eurospeech.1997-504
@inproceedings{martin97b_eurospeech,
author={Alvin Martin and George Doddington and Terri Kamm and Mark Ordowski and Mark Przybocki},
title={{The DET curve in assessment of detection task performance}},
year=1997,
booktitle={Proc. 5th European Conference on Speech Communication and Technology (Eurospeech 1997)},
pages={1895--1898},
doi={10.21437/Eurospeech.1997-504}
}