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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 1120 of 74 papers

TitleStatusHype
Where are we in audio deepfake detection? A systematic analysis over generative and detection modelsCode1
SONICS: Synthetic Or Not -- Identifying Counterfeit SongsCode1
Generalized Source Tracing: Detecting Novel Audio Deepfake Algorithm with Real Emphasis and Fake Dispersion StrategyCode1
CLAD: Robust Audio Deepfake Detection Against Manipulation Attacks with Contrastive LearningCode1
What to Remember: Self-Adaptive Continual Learning for Audio Deepfake DetectionCode1
HM-Conformer: A Conformer-based audio deepfake detection system with hierarchical pooling and multi-level classification token aggregation methodsCode1
FSD: An Initial Chinese Dataset for Fake Song DetectionCode1
Bts-e: Audio deepfake detection using breathing-talking-silence encoderCode1
Defense Against Adversarial Attacks on Audio DeepFake DetectionCode1
SpecRNet: Towards Faster and More Accessible Audio DeepFake DetectionCode1
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