Guardians of the Voice

Abstract

The rapid adoption of speech-based interfaces has transformed human–computer interaction, enabling more natural and accessible communication across education, healthcare, and industry. However, these technologies introduce critical security vulnerabilities, including voice spoofing, deepfake synthesis, and adversarial attacks on automatic speech recognition (ASR) systems. This chapter presents a comprehensive analysis of these threats, surveying feature-based and deep learning defenses, techniques for hardening ASR models, and the role of standardized benchmarks in evaluating robustness. Emphasizing the dynamic interplay between attackers and defenders, we advocate for integrating trust, security, and resilience into the design of voice-enabled systems. By fostering reliable and secure speech interfaces, this work supports SDG-aligned goals of inclusive, safe, and sustainable technological innovation.