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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 110 of 74 papers

TitleStatusHype
Temporal-Channel Modeling in Multi-head Self-Attention for Synthetic Speech DetectionCode2
SafeEar: Content Privacy-Preserving Audio Deepfake DetectionCode2
The Codecfake Dataset and Countermeasures for the Universally Detection of Deepfake AudioCode2
Audio Deepfake Detection with Self-Supervised XLS-R and SLS ClassifierCode2
Defense Against Adversarial Attacks on Audio DeepFake DetectionCode1
Attack Agnostic Dataset: Towards Generalization and Stabilization of Audio DeepFake DetectionCode1
Detect All-Type Deepfake Audio: Wavelet Prompt Tuning for Enhanced Auditory PerceptionCode1
CLAD: Robust Audio Deepfake Detection Against Manipulation Attacks with Contrastive LearningCode1
Automatic speaker verification spoofing and deepfake detection using wav2vec 2.0 and data augmentationCode1
AASIST: Audio Anti-Spoofing using Integrated Spectro-Temporal Graph Attention NetworksCode1
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