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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 110 of 74 papers

TitleStatusHype
IndieFake Dataset: A Benchmark Dataset for Audio Deepfake Detection0
A Data-Driven Diffusion-based Approach for Audio Deepfake Explanations0
Rehearsal with Auxiliary-Informed Sampling for Audio Deepfake DetectionCode0
Few-Shot Speech Deepfake Detection Adaptation with Gaussian ProcessesCode0
EnvSDD: Benchmarking Environmental Sound Deepfake Detection0
Replay Attacks Against Audio Deepfake Detection0
Forensic deepfake audio detection using segmental speech features0
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection0
End-to-end Audio Deepfake Detection from RAW Waveforms: a RawNet-Based Approach with Cross-Dataset EvaluationCode1
Benchmarking Audio Deepfake Detection Robustness in Real-world Communication Scenarios0
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