The Future of Voice Authentication: Leveraging AI for Robust Biometrics

Voice authentication systems have evolved as a main biometric security measure for devices with voice capabilities, but they face challenges such as environmental noise interference, and intra-speaker variability. Artificial Intelligence plays a transformative role in helping these systems by leveraging deep learning models for improved accuracy, security, and robustness. This paper talks about the advancements in AI-driven voice authentication, which is also known as voice biometrics, discussing deep learning architecture, anti-spoofing techniques, industry challenges, and future research directions. We incorporate insights from state-of-the-art literature to provide a comprehensive review of AI's impact on modern voice authentication systems.