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Forensic Speaker Recognition

Law Enforcement and Counter-Terrorism

  • Book
  • © 2012

Overview

Editors:
  1. Amy Neustein

    1. Lingustic Technology Systems, Fort Lee, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Hemant A. Patil

    1. Near Indroda Circle, DA-IICT, Gandhinagar, India

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Presents case studies about new methods of forensic speaker recognition for combating crime and detecting threats to security

  • Includes an analysis of the constraints posed by noisy texts in today's mobile environments

  • Introduces Sequence Package Analysis (SPA) for performing speaker verification in stressed environments

  • Includes supplementary material: sn.pub/extras

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Table of contents (18 chapters)

  1. Front Matter

    Pages 1-1
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  2. Forensic Case Work

    1. Front Matter

      Pages 1-1
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    2. Historical and Procedural Overview of Forensic Speaker Recognition as a Science

      • Kanae Amino, Takashi Osanai, Toshiaki Kamada, Hisanori Makinae, Takayuki Arai
      Pages 3-20

    3. Automatic Speaker Recognition for Forensic Case Assessment and Interpretation

      • Andrzej Drygajlo
      Pages 21-39

    4. Aural/Acoustic vs. Automatic Methods in Forensic Phonetic Case Work

      • Anders Eriksson
      Pages 41-69

    5. Speaker Profiling: The Study of Acoustic Characteristics Based on Phonetic Features of Hindi Dialects for Forensic Speaker Identification

      • Manisha Kulshreshtha, C. P. Singh, R. M. Sharma
      Pages 71-100

  3. Speech Signal Degradation: Managing Problematic Conditions Affecting Probative Speech Samples

    1. Front Matter

      Pages 101-101
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    2. Speech Under Stress and Lombard Effect: Impact and Solutions for Forensic Speaker Recognition

      • John H. L. Hansen, Abhijeet Sangwan, Wooil Kim
      Pages 103-123

    3. Speaker Identification over Narrowband VoIP Networks

      • Hemant A. Patil, Aaron E. Cohen, Keshab K. Parhi
      Pages 125-151

    4. Noise Robust Speaker Identification: Using Nonlinear Modeling Techniques

      • Raghunath S. Holambe, Mangesh S. Deshpande
      Pages 153-182

    5. Robust Speaker Recognition in Noisy Environments: Using Dynamics of Speaker-Specific Prosody

      • Shashidhar G. Koolagudi, K. Sreenivasa Rao, Ramu Reddy, Vuppala Anil Kumar, Saswat Chakrabarti
      Pages 183-204

    6. Characterization of Noise Associated with Forensic Speech Samples

      • Jiju P. V., C. P. Singh, R. M. Sharma
      Pages 205-251

    7. Speech Processing for Robust Speaker Recognition: Analysis and Advancements for Whispered Speech

      • John H. L. Hansen, Chi Zhang, Xing Fan
      Pages 253-272

  4. Methods and Strategies: Analyzing Features of Speaker Recognition to Optimize Voice Verification System Performance in Legal Settings

    1. Front Matter

      Pages 273-273
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    2. Effects of the Phonological Contents and Transmission Channels on Forensic Speaker Recognition

      • Kanae Amino, Takashi Osanai, Toshiaki Kamada, Hisanori Makinae, Takayuki Arai
      Pages 275-308

    3. Aerodynamic and Acoustic Theory of Voice Production

      • T. V. Ananthapadmanabha
      Pages 309-363

    4. Prosodic Features for Speaker Recognition

      • Leena Mary
      Pages 365-388

    5. Speaker Identification Using Intermediate Matching Kernel-Based Support Vector Machines

      • A. D. Dileep, C. Chandra Sekhar
      Pages 389-424

  5. Applications to Law Enforcement and Counter-Terrorism

    1. Front Matter

      Pages 425-425
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    2. Speaker Spotting: Automatic Telephony Surveillance for Homeland Security

      • V. Ramasubramanian
      Pages 427-468
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Keywords

About this book

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.

Editors and Affiliations

  • Lingustic Technology Systems, Fort Lee, USA

    Amy Neustein

  • Near Indroda Circle, DA-IICT, Gandhinagar, India

    Hemant A. Patil

Bibliographic Information

  • Book Title: Forensic Speaker Recognition

  • Book Subtitle: Law Enforcement and Counter-Terrorism

  • Editors: Amy Neustein, Hemant A. Patil

  • DOI: https://doi.org/10.1007/978-1-4614-0263-3

  • Publisher: Springer New York, NY

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer Science+Business Media, LLC 2012

  • Hardcover ISBN: 978-1-4614-0262-6Published: 04 October 2011

  • Softcover ISBN: 978-1-4899-9603-9Published: 29 November 2014

  • eBook ISBN: 978-1-4614-0263-3Published: 05 October 2011

  • Edition Number: 1

  • Number of Pages: XXI, 540

  • Topics: Signal, Image and Speech Processing, Natural Language Processing (NLP), Linguistics, general

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