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Audio Deepfake Detection

Nowadays, deepfake is now generically used by the media or people to refer to any audio or video in which important attributes have been either digitally altered or swapped, with the help of artificial intelligence (AI). Audio deepfake detection is a task that aims to distinguish genuine utterances from fake ones via machine learning techniques.

Papers

Showing 3140 of 74 papers

TitleStatusHype
EnvSDD: Benchmarking Environmental Sound Deepfake Detection0
Forensic deepfake audio detection using segmental speech features0
Replay Attacks Against Audio Deepfake Detection0
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection0
Benchmarking Audio Deepfake Detection Robustness in Real-world Communication Scenarios0
Measuring the Robustness of Audio Deepfake DetectorsCode0
DeePen: Penetration Testing for Audio Deepfake Detection0
A Preliminary Exploration with GPT-4o Voice Mode0
Generalizable Audio Deepfake Detection via Latent Space Refinement and Augmentation0
What Does an Audio Deepfake Detector Focus on? A Study in the Time Domain0
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