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cs.SD2024★ 1 cited
Enhancing Generalization in Audio Deepfake Detection: A Neural Collapse based Sampling and Training Approach
Mohammed Yousif, Jonat John Mathew, Huzaifa Pallan +5
Generalization in audio deepfake detection presents a significant challenge, with models trained on specific datasets often struggling to detect deepfakes generated under varying c…
cs.SD2024★ 3 cited
Towards the Development of a Real-Time Deepfake Audio Detection System in Communication Platforms
Jonat John Mathew, Rakin Ahsan, Sae Furukawa +6
Deepfake audio poses a rising threat in communication platforms, necessitating real-time detection for audio stream integrity. Unlike traditional non-real-time approaches, this stu…