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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

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Showing 21–30 of 74 papers

TitleStatusHype
Where are we in audio deepfake detection? A systematic analysis over generative and detection modelsCode1
Defense Against Adversarial Attacks on Audio DeepFake DetectionCode1
Prompt Tuning for Audio Deepfake Detection: Computationally Efficient Test-time Domain Adaptation with Limited Target DatasetCode1
Automatic speaker verification spoofing and deepfake detection using wav2vec 2.0 and data augmentationCode1
WaveFake: A Data Set to Facilitate Audio Deepfake DetectionCode1
End-to-end anti-spoofing with RawNet2Code1
EnvSDD: Benchmarking Environmental Sound Deepfake Detection—0
A Data-Driven Diffusion-based Approach for Audio Deepfake Explanations—0
Benchmarking Audio Deepfake Detection Robustness in Real-world Communication Scenarios—0
A Preliminary Exploration with GPT-4o Voice Mode—0
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