Voice Authentication

Voice authentication, aiming to verify a person's identity based on their voice, is a crucial area of biometric security research. Current efforts focus on improving robustness against sophisticated spoofing attacks, including deepfakes and adversarial examples, often employing deep learning models like convolutional neural networks and conformers, along with techniques like randomized smoothing and differential privacy for enhanced security. These advancements are vital for securing various applications, from financial transactions and access control to clinical trials, while also addressing concerns about fairness, privacy, and the impact of factors like gender and age on system performance.