4 papers
Split and Conquer Partial Deepfake Speech
Inbal Rimon, Oren Gal, Haim Permuter
Partial deepfake speech detection requires identifying manipulated regions that may occur within short temporal portions of an otherwise bona fide utterance, making the task partic…
Robust Localization of Partially Fake Speech: Metrics and Out-of-Domain Evaluation
Hieu-Thi Luong, Inbal Rimon, Haim Permuter +2
Partial audio deepfake localization poses unique challenges and remain underexplored compared to full-utterance spoofing detection. While recent methods report strong in-domain per…
Unmasking Deepfakes: Leveraging Augmentations and Features Variability for Deepfake Speech Detection
Inbal Rimon, Oren Gal, Haim Permuter
Deepfake speech detection presents a growing challenge as generative audio technologies continue to advance. We propose a hybrid training framework that advances detection performa…
A Study On Data Augmentation In Voice Anti-Spoofing
Ariel Cohen, Inbal Rimon, Eran Aflalo +1
In this paper, we perform an in-depth study of how data augmentation techniques improve synthetic or spoofed audio detection. Specifically, we propose methods to deal with channel…