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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 51–60 of 74 papers

TitleStatusHype
WavLM model ensemble for audio deepfake detectionCode0
Temporal Variability and Multi-Viewed Self-Supervised Representations to Tackle the ASVspoof5 Deepfake Challenge—0
ADD 2023: Towards Audio Deepfake Detection and Analysis in the Wild—0
SLIM: Style-Linguistics Mismatch Model for Generalized Audio Deepfake Detection—0
Targeted Augmented Data for Audio Deepfake Detection—0
Deepfake Audio Detection Using Spectrogram-based Feature and Ensemble of Deep Learning Models—0
One-Class Learning with Adaptive Centroid Shift for Audio Deepfake DetectionCode0
Codecfake: An Initial Dataset for Detecting LLM-based Deepfake Audio—0
Harder or Different? Understanding Generalization of Audio Deepfake Detection—0
Training-Free Deepfake Voice Recognition by Leveraging Large-Scale Pre-Trained Models—0
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