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I. FORENSIC CASE WORK.-
1. Historical and Procedural Overview of Forensic Speaker Recognition As a Science.-
2. Automatic Speaker Recognition for Forensic Case Assessment and Interpretation.-
3. Aural/Acoustic Versus Automatic Methods in Forensic Phonetic Case Work.-
4. Speaker Profiling:The Study of Acoustic Characteristics Based on Phonetic Features of Hindi Dialects for Forensic Speaker Identification.- II. SPEECH SIGNAL DEGRADATION: MANAGING PROBLEMATIC CONDITIONS AFFECTING PROBATIVE SPEECH SAMPLES.-
5. Speech under Stress and Lombard Effect: Impact and Solutions for Forensic Speaker Recognition .-
6. Speaker Identification over Narrow band VoIP Networks.-
7. Noise Robust Speaker Identification: Using Nonlinear Modeling Techniques.-
8. Robust Speaker Recognition in Noisy Environments: Using Dynamics of Speaker-Specific Prosody.-
9. Characterization of Noise Associated with Forensic Speech Samples.-
10. Speech Processing for Robust Speaker Recognition: Analysis and Advancements for Whispered Speech.- III.METHODS AND STRATEGIES: ANALYZING FEATURES OF SPEAKER RECOGNITION TO OPTIMIZE VOICE VERIFICATION SYSTEM PERFORMANCE IN LEGAL SETTINGS.-
11. Effects of Phonological Content and Transmission Channels on Forensic Speaker Recognition.-
12. Aerodynamic and Acoustic Theory of Voice Production.-
13. Prosodic Features for Speaker Recognition.-
14. Speaker Identification Using Intermediate Matching Kernal-based Support Vector Machines.- IV. APPLICATIONS TO LAW ENFORCEMENT AND COUNTER-TERRORISM.-
15. Speaker Spotting: Automatic Telephony Surveillance for Homeland Security.
16. Helping the Forensic Research Institute of the French Gendarmerie to Identify a Suspect in the Presence of Voice Disguise or Voice Forgery.
17. Applying Lessons Learned from Commercial Voice Biometric Deployments to Forensic Investigations.-
18. Designing Better Speaker Verification Systems: Bridging the Gap between Creators and Implementers ofInvestigatory Voice Biometric Technologies