Please use this identifier to cite or link to this item:
|Title:||A minimum variance asynchronous detection error trade-off performance analysis for multi-class detection problems|
|Keywords:||Detection error trade-off|
|Citation:||Sim, K.C. (2010). A minimum variance asynchronous detection error trade-off performance analysis for multi-class detection problems. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings : 4458-4461. ScholarBank@NUS Repository. https://doi.org/10.1109/ICASSP.2010.5495609|
|Abstract:||In a detection problem, the trade-off between the miss and false alarm probabilities are often shown as a Detection Error Trade-off (DET) curve. The DET curve is obtained by adjusting a decision threshold to vary the compromise between these probabilities. For a multi-class detection problem, each class has its own decision threshold, which leads to a multi-variate detection error trade-off. In order to plot a DET curve, the decision thresholds are constrained to a single degree of freedom. Typically, they are synchronously constrained to use the same values. In this paper, a minimum variance DET analysis is proposed where the decision thresholds are asynchronously constrained such that the variances of the miss and false alarm probabilities are minimised. If the scores are normally distributed, the decision thresholds can be approximated as a linear univariate function and the resulting DET curve is also a straight line. In more general cases where the scores are not normally distributed, piecewise linear functions can be estimated iteratively, instead. The minimum variance asynchronous DET analysis is applied to a phone verification task on TIMIT database. ©2010 IEEE.|
|Source Title:||ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Oct 20, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.