Lombard-VLD: Voice Liveness Detection based on Human Auditory Feedback
Hongcheng Zhu, Zongkun Sun, Yanzhen Ren, Kun He, Yongpeng Yan, Zixuan Wang
IEEE Symposium on Security and Privacy 2025 · Day 3 · Mobile and Smarthome Security
In an era where **automatic speaker verification (ASV)** systems are increasingly integrated into mobile devices and critical security applications, ensuring the integrity of voice authentication has become paramount. These systems, designed to verify a user's identity based on their unique voice characteristics, are unfortunately highly vulnerable to **spoofing attacks**. Such attacks typically involve replaying pre-recorded audio, employing sophisticated voice synthesis, or using a loudspeaker to impersonate a legitimate user, thereby bypassing security measures. This vulnerability poses a significant threat, potentially leading to unauthorized access, data breaches, and financial fraud.