Audio Deepfake Detection
2개 벤치마크 · 논문 120편 · 이 태스크의 논문 보기 →
Benchmarks
ASVspoof 2021
FakeOrReal
Most implemented
Automatic speaker verification spoofing and deepfake detection using wav2vec 2.0 and data augmentation
Audio Deepfake Detection with Self-Supervised XLS-R and SLS Classifier
SONICS: Synthetic Or Not -- Identifying Counterfeit Songs
WavLM model ensemble for audio deepfake detection
WaveFake: A Data Set to Facilitate Audio Deepfake Detection
Papers
Trajectory Dynamics in Self-Supervised Learning Latent Space for Audio Deepfake Detection
Human speech production is constrained by physiology, giving rise to characteristic temporal structure on acoustic signals. We hypothesise that these constraints manifest as structured trajectory dynamics in the latent s…
Audio Deepfake DetectionSelf-Supervised LearningAudio-Anchored Fusion of Multi-Ratio DiT Reconstruction Residuals for Cross-Domain Audio Deepfake Detection
Audio deepfake detectors often degrade when generators, corpora, or recording conditions change. We use a Diffusion Transformer (DiT), trained only on bona fide speech, as a frozen reconstruction probe. Reconstructions a…
Audio Deepfake DetectionExplainable-by-Design Audio Deepfake Detection via Wiener-Hopf Linear Prediction
The rapid advancement of synthetic speech generation methods has made audio deepfake detection a critical challenge in multimedia forensics. While recent approaches achieve high detection accuracy, they typically rely on…
Audio Deepfake DetectionSynSFX: Multi-Model Sound Effects Synthesis Dataset for Deepfake Detection and Evaluation
While audio deepfake detection has advanced significantly, representative detectors show limited generalization to synthetic sound effects. Existing environmental audio datasets such as EnvSDD provide important initial r…
Audio Deepfake DetectionDetecting Audio Deepfakes on the Edge:Lightweight SSL-Based Detection in a Browser Plugin
Audio deepfakes are a growing challenge for the general public, as well as for journalists and fact-checkers. The latter need reliable tools to verify the authenticity of their sources, while at the same time keeping the…
Audio Deepfake DetectionProteus: Automated Adversarial Robustness Testing for Audio Deepfake Detectors
We present Proteus, a framework developed at Resemble AI for automated robustness testing of our audio deepfake detection system. Given a detector, Proteus systematically searches over sequences of everyday audio transfo…
Audio Deepfake DetectionAdversarial Robustness