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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
Audio Deepfake Detection with Self-Supervised XLS-R and SLS ClassifierCode2
SafeEar: Content Privacy-Preserving Audio Deepfake DetectionCode2
Temporal-Channel Modeling in Multi-head Self-Attention for Synthetic Speech DetectionCode2
The Codecfake Dataset and Countermeasures for the Universally Detection of Deepfake AudioCode2
End-to-end Audio Deepfake Detection from RAW Waveforms: a RawNet-Based Approach with Cross-Dataset EvaluationCode1
Detect All-Type Deepfake Audio: Wavelet Prompt Tuning for Enhanced Auditory PerceptionCode1
Comprehensive Layer-wise Analysis of SSL Models for Audio Deepfake DetectionCode1
Region-Based Optimization in Continual Learning for Audio Deepfake DetectionCode1
XLSR-Mamba: A Dual-Column Bidirectional State Space Model for Spoofing Attack DetectionCode1
Prompt Tuning for Audio Deepfake Detection: Computationally Efficient Test-time Domain Adaptation with Limited Target DatasetCode1
Where are we in audio deepfake detection? A systematic analysis over generative and detection modelsCode1
SONICS: Synthetic Or Not -- Identifying Counterfeit SongsCode1
Generalized Source Tracing: Detecting Novel Audio Deepfake Algorithm with Real Emphasis and Fake Dispersion StrategyCode1
CLAD: Robust Audio Deepfake Detection Against Manipulation Attacks with Contrastive LearningCode1
What to Remember: Self-Adaptive Continual Learning for Audio Deepfake DetectionCode1
HM-Conformer: A Conformer-based audio deepfake detection system with hierarchical pooling and multi-level classification token aggregation methodsCode1
FSD: An Initial Chinese Dataset for Fake Song DetectionCode1
Bts-e: Audio deepfake detection using breathing-talking-silence encoderCode1
Defense Against Adversarial Attacks on Audio DeepFake DetectionCode1
SpecRNet: Towards Faster and More Accessible Audio DeepFake DetectionCode1
Attack Agnostic Dataset: Towards Generalization and Stabilization of Audio DeepFake DetectionCode1
Automatic speaker verification spoofing and deepfake detection using wav2vec 2.0 and data augmentationCode1
WaveFake: A Data Set to Facilitate Audio Deepfake DetectionCode1
AASIST: Audio Anti-Spoofing using Integrated Spectro-Temporal Graph Attention NetworksCode1
End-to-End Spectro-Temporal Graph Attention Networks for Speaker Verification Anti-Spoofing and Speech Deepfake DetectionCode1
End-to-end anti-spoofing with RawNet2Code1
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
Forensic deepfake audio detection using segmental speech features—0
Replay Attacks Against Audio Deepfake Detection—0
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection—0
Benchmarking Audio Deepfake Detection Robustness in Real-world Communication Scenarios—0
Measuring the Robustness of Audio Deepfake DetectorsCode0
DeePen: Penetration Testing for Audio Deepfake Detection—0
A Preliminary Exploration with GPT-4o Voice Mode—0
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
Spoofing-Robust Speaker Verification Based on Time-Domain Embedding—0
Audios Don't Lie: Multi-Frequency Channel Attention Mechanism for Audio Deepfake Detection—0
Toward Transdisciplinary Approaches to Audio Deepfake Discernment—0
Toward Robust Real-World Audio Deepfake Detection: Closing the Explainability Gap—0
Learn from Real: Reality Defender's Submission to ASVspoof5 Challenge—0
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
Does Current Deepfake Audio Detection Model Effectively Detect ALM-based Deepfake Audio?Code0
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