01929nam a2200265 4500 394577 394577 20170525d2017 y0pory50 ba eng A framework for performing forensic and investigatory speaker comparisons using automated methods Recurso eletrónico David Brian Marks Denver [s.n.] 2017 1 CD-ROM 12 cm Tese de Mestrado apresentada à Universidade do Colorado, tendo como orientadora Catalin Grigoras. Ficheiro de 2,99 MB em formato PDF (174 p.). I. INTRODUCTION. Terminology. Challenges of Voice Forensics. Scope. II. BACKGROUND. Scientific Foundations. The Scientific Method. Bias Effects. Legal Foundations. Rules of Evidence. Federal Case Law. State Case Law. Factors in Speaker Recognition. The Nature of the Human Voice. Speaker Recognition Systems. Bias Effects. Standards. Historical Baggage. III. COMPARISON FRAMEWORK. Case Assessment. Forensic Request. Administrative Assessment. Technical Assessment. Decision to Proceed with Analysis. Analysis and Processing. Data Preparation. Data Enhancement. Selection of the Relevant Population. System Performance and Calibration. Combining Results from Multiple Methods or Systems. Conclusions. Interpreting Results. Communicating Results. Case Studies. Case Study 1. Case Study 2. Case Study 3. SUMMARY AND CONCLUSIONS. Challenges in the Relevant Population. Fusion for Multiple Algorithms. Verbal Scale Standards for Reporting Results. Data and Standards for Validation. REFERENCES. IDENTIFICAÇÃO DA VOZ 345486 EXAME À VOZ 346274 REGISTO VOCAL 343486 METODOLOGIAS 341295 SOFTWARE 235148 TESE 334284 ESTADOS UNIDOS 334103 MARKS David Brian 358463 Oferta 0 PJCD_284_000000000000000 2022-06-06 PJCD284 427214 PJ PJ PJ1CD284_109 PJCD284 2022-06-06 0 MO Oferta