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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 26–50 of 74 papers

TitleStatusHype
Prompt Tuning for Audio Deepfake Detection: Computationally Efficient Test-time Domain Adaptation with Limited Target DatasetCode1
Toward Robust Real-World Audio Deepfake Detection: Closing the Explainability Gap—0
Learn from Real: Reality Defender's Submission to ASVspoof5 Challenge—0
Where are we in audio deepfake detection? A systematic analysis over generative and detection modelsCode1
Representation Loss Minimization with Randomized Selection Strategy for Efficient Environmental Fake Audio Detection—0
Strong Alone, Stronger Together: Synergizing Modality-Binding Foundation Models with Optimal Transport for Non-Verbal Emotion Recognition—0
SafeEar: Content Privacy-Preserving Audio Deepfake DetectionCode2
SONICS: Synthetic Or Not -- Identifying Counterfeit SongsCode1
Does Current Deepfake Audio Detection Model Effectively Detect ALM-based Deepfake Audio?Code0
WavLM model ensemble for audio deepfake detectionCode0
Temporal Variability and Multi-Viewed Self-Supervised Representations to Tackle the ASVspoof5 Deepfake Challenge—0
ADD 2023: Towards Audio Deepfake Detection and Analysis in the Wild—0
SLIM: Style-Linguistics Mismatch Model for Generalized Audio Deepfake Detection—0
Targeted Augmented Data for Audio Deepfake Detection—0
Deepfake Audio Detection Using Spectrogram-based Feature and Ensemble of Deep Learning Models—0
Temporal-Channel Modeling in Multi-head Self-Attention for Synthetic Speech DetectionCode2
One-Class Learning with Adaptive Centroid Shift for Audio Deepfake DetectionCode0
Codecfake: An Initial Dataset for Detecting LLM-based Deepfake Audio—0
Harder or Different? Understanding Generalization of Audio Deepfake Detection—0
Generalized Source Tracing: Detecting Novel Audio Deepfake Algorithm with Real Emphasis and Fake Dispersion StrategyCode1
The Codecfake Dataset and Countermeasures for the Universally Detection of Deepfake AudioCode2
Training-Free Deepfake Voice Recognition by Leveraging Large-Scale Pre-Trained Models—0
CLAD: Robust Audio Deepfake Detection Against Manipulation Attacks with Contrastive LearningCode1
Retrieval-Augmented Audio Deepfake Detection—0
Cross-Domain Audio Deepfake Detection: Dataset and Analysis—0
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