Forensic Speaker Recognition: Law Enforcement and Counter-Terrorism is an anthology of the research findings of 35 speaker recognition experts from around the world. The volume provides a multidimensional view of the complex science involved in determining whether a suspect’s voice truly matches forensic speech samples, collected by law enforcement and counter-terrorism agencies, that are associated with the commission of a terrorist act or other crimes. While addressing such topics as the challenges of forensic case work, handling speech signal degradation, analyzing features of speaker recognition to optimize voice verification system performance, and designing voice applications that meet the practical needs of law enforcement and counter-terrorism agencies, this material all sounds a common theme: how the rigors of forensic utility are demanding new levels of excellence in all aspects of speaker recognition. The contributors are among the most eminent scientists in speech engineering and signal processing; and their work represents such diverse countries as Switzerland, Sweden, Italy, France, Japan, India and the United States.
Forensic Speaker Recognition is a useful book for forensic speech scientists, speech signal processing experts, speech system developers, criminal prosecutors and counter-terrorism intelligence officers and agents.
สารบัญ
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 Vo IP 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 of Investigatory Voice Biometric Technologies
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