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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

Showing 3140 of 74 papers

TitleStatusHype
One-Class Learning with Adaptive Centroid Shift for Audio Deepfake DetectionCode0
Exploring Green AI for Audio Deepfake DetectionCode0
Betray Oneself: A Novel Audio DeepFake Detection Model via Mono-to-Stereo ConversionCode0
Heterogeneity over Homogeneity: Investigating Multilingual Speech Pre-Trained Models for Detecting Audio DeepfakeCode0
WavLM model ensemble for audio deepfake detectionCode0
Does Current Deepfake Audio Detection Model Effectively Detect ALM-based Deepfake Audio?Code0
IndieFake Dataset: A Benchmark Dataset for Audio Deepfake Detection0
Investigating Prosodic Signatures via Speech Pre-Trained Models for Audio Deepfake Source Attribution0
Learn from Real: Reality Defender's Submission to ASVspoof5 Challenge0
Training-Free Deepfake Voice Recognition by Leveraging Large-Scale Pre-Trained Models0
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