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eess.AS2026
Investigating voiced and unvoiced regions of speech for audio deepfake detection
Ganesh Sivaraman, Hemlata Tak, Elie Khoury
Deep neural network based deepfake detection systems have achieved high levels of accuracy on benchmark datasets and competitions. However, most models lack interpretability. It is…
eess.AS2025
Open-Set Source Tracing of Audio Deepfake Systems
Nicholas Klein, Hemlata Tak, Elie Khoury
Existing research on source tracing of audio deepfake systems has focused primarily on the closed-set scenario, while studies that evaluate open-set performance are limited to a sm…
eess.AS2024
Source Tracing of Audio Deepfake Systems
Nicholas Klein, Tianxiang Chen, Hemlata Tak +2
Recent progress in generative AI technology has made audio deepfakes remarkably more realistic. While current research on anti-spoofing systems primarily focuses on assessing wheth…