Nicholas Evans

Vocoder drift compensation by x-vector alignment in speaker anonymisation

2023 · arXiv (Cornell University)

For the most popular x-vector-based approaches to speaker anonymisation, the bulk of the anonymisation can stem from vocoding rather than from the core anonymisation function which is used to substitute an original speaker x-vector with …

MDD: A Mask Diffusion Detector to Protect Speaker Verification Systems from Adversarial Perturbations

2025

Speaker verification systems are increasingly deployed in security-sensitive applications but remain highly vulnerable to adversarial perturbations. In this work, we propose the Mask Diffusion Detector (MDD), a novel adversarial detection and purification framework based on …

ASVspoof 2015: the first automatic speaker verification spoofing and countermeasures challenge

2015

An increasing number of independent studies have con-firmed the vulnerability of automatic speaker verification (ASV) technology to spoofing. However, in comparison to that involving other biometric modalities, spoofing and countermea-sure research for ASV is still …

RedDots replayed: A new replay spoofing attack corpus for text-dependent speaker verification research

2017

This paper describes a new database for the assessment of automatic speaker verification (ASV) vulnerabilities to spoofing attacks. In contrast to other recent data collection efforts, the new database has been designed to support the …