Likelihood Ratio Calibration in a Transparent and Testable Forensic Speaker Recognition Framework

@article{RamosCastro2006LikelihoodRC,
  title={Likelihood Ratio Calibration in a Transparent and Testable Forensic Speaker Recognition Framework},
  author={Daniel Ramos-Castro and Joaqu{\'i}n Gonz{\'a}lez-Rodr{\'i}guez and Javier Ortega-Garcia},
  journal={2006 IEEE Odyssey - The Speaker and Language Recognition Workshop},
  year={2006},
  pages={1-8}
}
A recently reopened debate about the infallibility of some classical forensic disciplines is leading to new requirements in forensic science. Standardization of procedures, proficiency testing, transparency in the scientific evaluation of the evidence and testability of the system and protocols are emphasized in order to guarantee the scientific objectivity of the procedures. Those ideas will be exploited in this paper in order to walk towards an appropriate framework for the use of forensic… CONTINUE READING
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