3 papers
eess.AS2026
Evaluating voice anonymisation using similarity rank disclosure
Shilpa Chandra, Matteo Pettenò, Nicholas Evans +7
The evaluation of voice anonymisation remains challenging. Current practice relies on automatic speaker verification metrics such as the equal error rate (EER). Performance estimat…
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…
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…