2025
Fine-tuning TitaNet-Large Model for Speaker Anonymization Attacker Systems
ICASSP 2025accepted
Speaker anonymization techniques are crucial for safeguarding user privacy in voice-based applications. However, these methods are susceptible to adversarial attacks that can compromise their effectiveness. This paper proposes attacker systems that leverage the power of fine-tuned TitaNet-Large and…