Toolkit for Evaluation, Fusion and Calibration of statistical pattern recognizers
At present the FoCal toolkit has two branches:
- The original FoCal is applicable to any two-class recognizer and has been specialized for the task of speaker detection, as found in the NIST Speaker Recognition Evaluations . For more details on this branch, see FoCal Two-Class.
- The multi-class FoCal branch is applicable to multi-class recognizers, with some specialization for the NIST Language Recogition Evaluations. Although some of the multi-class tools are generalizations of the two-class versions, the multi-class tools do not replace all of the functionality of the two-class tools. Users may therefore need both branches. For the multi-class branch see FoCal Multiclass.