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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 11–20 of 74 papers

TitleStatusHype
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
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