The DET curve in assessment of detection task performance
@article{Martin1997TheDC, title={The DET curve in assessment of detection task performance}, author={Alvin F. Martin and George R. Doddington and Teresa M. Kamm and Mark Ordowski and Mark A. Przybocki}, journal={5th European Conference on Speech Communication and Technology (Eurospeech 1997)}, year={1997} }
Abstract : 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.
1,574 Citations
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References
SHOWING 1-10 OF 10 REFERENCES
The Relative Operating Characteristic in Psychology
- PsychologyScience
- 1973
The ROC is an analytical technique that quite effectively isolates the effects of the observer's response bias, or decision criterion, in the study of discrimination behavior and enhances the understanding of the perceptual and cognitive phenomena that depend directly on these fundamental processes.
Detection theory and psychophysics
- Psychology
- 1956
"October 30, 1956." "This report is based on a thesis submitted to the Department of Economics and Social Science, M.I.T., in partial fulfillment of the requirements for the degree of Doctor of…
Signal detection theory and psychophysics
- Psychology
- 1966
This book discusses statistical decision theory and sensory processes in signal detection theory and psychophysics and describes how these processes affect decision-making.
ed., “Signal Detection and Recognition by Human Observers
- 1964
NIST web site -http://www.nist.gov/speech
- NIST web site -http://www.nist.gov/speech
Signal Detection and Recognition by Human Observers
- Signal Detection and Recognition by Human Observers
- 1964
Language Recognition Workshop Notebook
- Language Recognition Workshop Notebook
- 1996
Speaker Recognition Workshop Notebook
- Speaker Recognition Workshop Notebook
- 1996