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.
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.
* 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
* 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
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