3 papers
eess.SP2026
Robust Accent Identification via Voice Conversion and Non-Timbral Embeddings
Rayane Bakari, Olivier Le Blouch, Nicolas Gengembre +1
Automatic accent identification (AID) remains a challenging task due to the complex variability of accents, the entanglement of accent cues with speaker traits, and the scarcity of…
cs.SD2026
Fair-Gate: Fairness-Aware Interpretable Risk Gating for Sex-Fair Voice Biometrics
Yangyang Qu, Massimiliano Todisco, Chiara Galdi +1
Voice biometric systems can exhibit sex-related performance gaps even when overall verification accuracy is strong. We attribute these gaps to two practical mechanisms: (i) demogra…
eess.SP2026
Identity leakage through accent cues in voice anonymisation
Rayane Bakari, Olivier Le Blouch, Nicolas Gengembre +2
Voice anonymisation is used to conceal voice identity while preserving linguistic content. Even if anonymisation seems strong, non-timbral cues such as accent that remain post-anon…