Description
Book SynopsisVoice biometrics are being implemented globally in large scale applications such as remote banking, government e-services, transportation and building security access, autonomous vehicles, and healthcare. They have been integrated in numerous apps, often coupled with face biometrics and artificial intelligence methods. Voice biometrics products and solutions must meet three key requirements for the success in their deployment: they must be highly trustable regarding privacy protection; easy to use and always be available.
This edited book presents the state of the art in voice biometrics research and technologies including implementation and deployment challenges in terms of interoperability, scalability and performance, and security. The team of editors and chapter authors combine a wealth of expertise from academia and the industry. Topics covered include the fundamentals of voice biometrics; design of countermeasures for replay attack; attacker's perspective for voice biometrics; voice biometrics; speaker de-identification; performance evaluation of voice biometrics solutions; standardization of voice biometrics technology; industry perspectives; joining forces of voice and facial biometrics; and future trends and challenges in voice biometrics.
Providing comprehensive coverage of the field of voice biometrics, this authoritative volume will be of great interest to researchers, scientists, engineers, practitioners and advanced students involved in the fields of security, biometrics, forensic sciences, human computer interaction, speech processing, acoustics, multimedia, pattern recognition, and privacy-preserving, digital signal processing and speech technologies. It will also be of interest to researchers and professionals working in law and criminology.
Table of Contents
- Chapter 1: Introduction
- Chapter 2: Fundamentals of voice biometrics: classical and machine learning approaches learning approaches
- Chapter 3: Voice biometrics: attacker's perspective
- Chapter 4: Voice biometrics: privacy in paralinguistic and extralinguistic tasks for health applications
- Chapter 5: Voice privacy in biometrics: speaker de-identification
- Chapter 6: Performance evaluation of voice biometrics solutions
- Chapter 7: Voice biometrics: how the technology is standardized
- Chapter 8: Voice biometrics: perspective from the industry
- Chapter 9: Joining forces of voice and facial biometrics: a case study in the scope of NIST SRE'19
- Chapter 10: Voice biometrics: future trends and challenges ahead
