no code implementations • 5 Jul 2023 • Oubaïda Chouchane, Michele Panariello, Oualid Zari, Ismet Kerenciler, Imen Chihaoui, Massimiliano Todisco, Melek Önen
In this paper, we present an adversarial Auto-Encoder--based approach to hide gender-related information in speaker embeddings, while preserving their effectiveness for speaker verification.