A framework for performing forensic and investigatory speaker comparisons using automated methods [Recurso eletrónico] / David Brian Marks
Idioma: Inglês.Publicação: Denver : [s.n.], 2017Descrição física: 1 CD-ROM; 12 cmAssunto: 345486 | 346274 | 343486 | 341295 | 235148 | 334284 | 334103Resumo: 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.| Item type | Current location | Call number | Copy number | Status | Date due | Barcode |
|---|---|---|---|---|---|---|
| Monografias | Biblioteca da Polícia Judiciária | PJCD284 (Browse shelf) | PJCD284 | Available | PJ1CD284_109 |
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.
There are no comments for this item.