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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 1–25 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
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