Voice 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.
