cllrmin

Log-likelihood-ratio cost after recalibration

R

cllrmin(same, diff)

Python

crimlab.cllrmin(same, diff)

Command line

crimlab cllrmin --same VALUE --diff VALUE

Splits the cost of a set of likelihood ratios into min, their cost after recalibration with the pool-adjacent-violators algorithm, which keeps their order and gives each block of pooled ratios the value that costs that block least, and cal, the rest (cllr - min). That min is the least cost of every order-keeping recalibration, so that cal is never negative, is not proved. A system can separate the two kinds of comparison well and still report ratios that are too large or too small. See proof("cllrmin") and proof("lrcal").

Parameters

same

Likelihood ratios from same-source comparisons: positive numbers.

diff

Likelihood ratios from different-source comparisons: positive numbers.

Returns

A named numeric vector: cllr, min and cal, with cllr = min + cal.

References

Brummer, N. and du Preez, J. (2006). Application-independent evaluation of speaker detection. Computer Speech and Language, 20(2-3), 230-275. doi:10.1016/j.csl.2005.08.001

Examples

cllrmin(same = c(50, 200, 8), diff = c(0.01, 0.2, 1.5))

Generated from the R help page: cllrmin in the R reference.