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.
Inhaltsverzeichnis
- Chapter 1: Introduction
- Chapter 2: Fundamentals of Voice Biometrics: Classical and Machine 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: Voice Biometrics: 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