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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 1–50 of 74 papers

TitleStatusHype
IndieFake Dataset: A Benchmark Dataset for Audio Deepfake Detection—0
A Data-Driven Diffusion-based Approach for Audio Deepfake Explanations—0
Rehearsal with Auxiliary-Informed Sampling for Audio Deepfake DetectionCode0
Few-Shot Speech Deepfake Detection Adaptation with Gaussian ProcessesCode0
EnvSDD: Benchmarking Environmental Sound Deepfake Detection—0
Replay Attacks Against Audio Deepfake Detection—0
Forensic deepfake audio detection using segmental speech features—0
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection—0
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 Scenarios—0
Detect All-Type Deepfake Audio: Wavelet Prompt Tuning for Enhanced Auditory PerceptionCode1
Measuring the Robustness of Audio Deepfake DetectorsCode0
DeePen: Penetration Testing for Audio Deepfake Detection—0
A Preliminary Exploration with GPT-4o Voice Mode—0
Comprehensive Layer-wise Analysis of SSL Models for Audio Deepfake DetectionCode1
Generalizable Audio Deepfake Detection via Latent Space Refinement and Augmentation—0
What Does an Audio Deepfake Detector Focus on? A Study in the Time Domain—0
Neural Codec Source Tracing: Toward Comprehensive Attribution in Open-Set ConditionCode0
Investigating Prosodic Signatures via Speech Pre-Trained Models for Audio Deepfake Source Attribution—0
Region-Based Optimization in Continual Learning for Audio Deepfake DetectionCode1
Spoofing-Robust Speaker Verification Based on Time-Domain Embedding—0
Audios Don't Lie: Multi-Frequency Channel Attention Mechanism for Audio Deepfake Detection—0
XLSR-Mamba: A Dual-Column Bidirectional State Space Model for Spoofing Attack DetectionCode1
Toward Transdisciplinary Approaches to Audio Deepfake Discernment—0
Audio Deepfake Detection with Self-Supervised XLS-R and SLS ClassifierCode2
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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