SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 26–50 of 74 papers

TitleStatusHype
XLSR-Mamba: A Dual-Column Bidirectional State Space Model for Spoofing Attack DetectionCode1
Toward Transdisciplinary Approaches to Audio Deepfake Discernment—0
The DKU-DUKEECE System for the Manipulation Region Location Task of ADD 2023—0
The Vicomtech Audio Deepfake Detection System based on Wav2Vec2 for the 2022 ADD Challenge—0
EnvSDD: Benchmarking Environmental Sound Deepfake Detection—0
Strong Alone, Stronger Together: Synergizing Modality-Binding Foundation Models with Optimal Transport for Non-Verbal Emotion Recognition—0
Codecfake: An Initial Dataset for Detecting LLM-based Deepfake Audio—0
Complex-valued neural networks for voice anti-spoofing—0
Targeted Augmented Data for Audio Deepfake Detection—0
Cross-Domain Audio Deepfake Detection: Dataset and Analysis—0
DeePen: Penetration Testing for Audio Deepfake Detection—0
Deepfake Audio Detection Using Spectrogram-based Feature and Ensemble of Deep Learning Models—0
ADD 2022: the First Audio Deep Synthesis Detection Challenge—0
Temporal Variability and Multi-Viewed Self-Supervised Representations to Tackle the ASVspoof5 Deepfake Challenge—0
Does Audio Deepfake Detection Generalize?—0
Forensic deepfake audio detection using segmental speech features—0
Toward Robust Real-World Audio Deepfake Detection: Closing the Explainability Gap—0
Generalizable Audio Deepfake Detection via Latent Space Refinement and Augmentation—0
Towards generalisable and calibrated synthetic speech detection with self-supervised representations—0
Harder or Different? Understanding Generalization of Audio Deepfake Detection—0
A Data-Driven Diffusion-based Approach for Audio Deepfake Explanations—0
IndieFake Dataset: A Benchmark Dataset for Audio Deepfake Detection—0
Investigating Prosodic Signatures via Speech Pre-Trained Models for Audio Deepfake Source Attribution—0
Learn from Real: Reality Defender's Submission to ASVspoof5 Challenge—0
Training-Free Deepfake Voice Recognition by Leveraging Large-Scale Pre-Trained Models—0
Show:102550
← PrevPage 2 of 3Next →

No leaderboard results yet.