The BOSARIS Toolkit provides MATLAB code for calibrating, fusing and evaluating scores from (automatic) binary classifiers. It was developed to provide solutions for automatic speaker recognition, but we envision that much of the code will have wider applicability for other biometric and/or forensics problems, where the calibration of likelihoodratios is of interest. The main features of the toolkit are:  The Normalized Bayes ErrorRate Plot, which analyses likelihood ratio calibration over a wide range of operating points. These plots also help in judging the adequacy of the sizes of calibration and evaluation databases.
 ROC, ROCCH and DET plots.
 Efficient algorithms to compute these plots for very large score files.
 Logistic regression solution for fusing multiple subsystems.
 Logistic regression, or PAV/ROCCH calibration solutions for mapping scores to likelihoodratios.
 A fast logistic regression optimizer.
 An efficient, binary, platformindependent (HDF5) score file format, which facilitates interoperability with other tools.
More details are available in: New for SRE'12: Utility for simple to compound LLR transformationThis may be helpful to NIST SRE'12 participants. BOSARIS fusion and calibration outputs simple LLRs. For some SRE'12 test conditions you will need compound LLRs. The MATLAB function llrTrans_simple2compound.m may be useful for this purpose. Also consult the SRE'12 page for more information and resources.
MATLAB version The toolkit has an objectoriented API, for which it needs a recent verson of MATLAB. We have verified that it runs on MATLAB version R2008a and later versions.
Getting started if !agree with License agreement return end
 Read the user guide, to see what the toolkit does and why.
 Download: The toolkit is available in both zipped (.zip) and tar gzipped (.tgz) versions. The contents are identical. See attachments at the bottom of this page.
 Go to: getting started, which will tell you again to read the user guide, to add the code to the MATLAB path and to run the demo.

Updating...
Niko Brummer, Jun 24, 2013, 4:33 AM
bosaris_toolkit.1.06.tgz (549k) Edward de Villiers, Mar 27, 2012, 5:13 AM
bosaris_toolkit.1.06.zip (709k) Edward de Villiers, Mar 27, 2012, 5:13 AM
Ċ Niko Brummer, Nov 22, 2011, 1:18 AM
