This edited book presents the state-of-art on voice biometrics research and technologies including implementation and deployment challenges in terms of interoperability, scalability and performance. Topics covered include Machine Learning Paradigms for Voice Biometrics; Audio-visual Identity Verification; Vulnerability Issues; Evaluation; Standards; Perspective from the industry; Privacy and Data Protection Issues; Speaker De-Identification; integration with other Biometrics Modalities; applications and future challenges and perspectives.
