Forensic Speaker Recognition

Law Enforcement and Counter-Terrorism

Nonfiction, Science & Nature, Technology, Electronics, Computers, Advanced Computing
Cover of the book Forensic Speaker Recognition by , Springer New York
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9781461402633
Publisher: Springer New York Publication: October 5, 2011
Imprint: Springer Language: English
Author:
ISBN: 9781461402633
Publisher: Springer New York
Publication: October 5, 2011
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer New York

Cover of the book REST: From Research to Practice by
Cover of the book Distributed Medium Access Control in Wireless Networks by
Cover of the book NanoBiosensing by
Cover of the book Coronary Heart Disease by
Cover of the book Residue Reviews by
Cover of the book Restless Legs Syndrome/Willis Ekbom Disease by
Cover of the book Handbook of the Sociology of Health, Illness, and Healing by
Cover of the book The Physician as Manager by
Cover of the book Poverty and Exclusion in the Western Balkans by
Cover of the book Pharmaceutical Stability Testing to Support Global Markets by
Cover of the book Biomedical Optics in Otorhinolaryngology by
Cover of the book Topics in Statistical Simulation by
Cover of the book Evidence-Based Imaging by
Cover of the book Advances in Energy Harvesting Methods by
Cover of the book Families and Child Health by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy