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Audio Deepfake Detection
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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.
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A Data-Driven Diffusion-based Approach for Audio Deepfake Explanations
Rehearsal with Auxiliary-Informed Sampling for Audio Deepfake Detection
Few-Shot Speech Deepfake Detection Adaptation with Gaussian Processes
EnvSDD: Benchmarking Environmental Sound Deepfake Detection
Forensic deepfake audio detection using segmental speech features
Replay Attacks Against Audio Deepfake Detection
$\mathcal{A}LLM4ADD$: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection
End-to-end Audio Deepfake Detection from RAW Waveforms: a RawNet-Based Approach with Cross-Dataset Evaluation
Benchmarking Audio Deepfake Detection Robustness in Real-world Communication Scenarios
Detect All-Type Deepfake Audio: Wavelet Prompt Tuning for Enhanced Auditory Perception
Measuring the Robustness of Audio Deepfake Detectors
DeePen: Penetration Testing for Audio Deepfake Detection
A Preliminary Exploration with GPT-4o Voice Mode
Comprehensive Layer-wise Analysis of SSL Models for Audio Deepfake Detection
Generalizable Audio Deepfake Detection via Latent Space Refinement and Augmentation
What Does an Audio Deepfake Detector Focus on? A Study in the Time Domain
Neural Codec Source Tracing: Toward Comprehensive Attribution in Open-Set Condition
Investigating Prosodic Signatures via Speech Pre-Trained Models for Audio Deepfake Source Attribution
Region-Based Optimization in Continual Learning for Audio Deepfake Detection
Audios Don't Lie: Multi-Frequency Channel Attention Mechanism for Audio Deepfake Detection
XLSR-Mamba: A Dual-Column Bidirectional State Space Model for Spoofing Attack Detection
Toward Transdisciplinary Approaches to Audio Deepfake Discernment
Prompt Tuning for Audio Deepfake Detection: Computationally Efficient Test-time Domain Adaptation with Limited Target Dataset
Learn from Real: Reality Defender's Submission to ASVspoof5 Challenge
Toward Robust Real-World Audio Deepfake Detection: Closing the Explainability Gap
Where are we in audio deepfake detection? A systematic analysis over generative and detection models
Representation Loss Minimization with Randomized Selection Strategy for Efficient Environmental Fake Audio Detection
Strong Alone, Stronger Together: Synergizing Modality-Binding Foundation Models with Optimal Transport for Non-Verbal Emotion Recognition
SafeEar: Content Privacy-Preserving Audio Deepfake Detection
SONICS: Synthetic Or Not -- Identifying Counterfeit Songs
Does Current Deepfake Audio Detection Model Effectively Detect ALM-based Deepfake Audio?
WavLM model ensemble for audio deepfake detection
Temporal Variability and Multi-Viewed Self-Supervised Representations to Tackle the ASVspoof5 Deepfake Challenge
ADD 2023: Towards Audio Deepfake Detection and Analysis in the Wild
SLIM: Style-Linguistics Mismatch Model for Generalized Audio Deepfake Detection
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