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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 1120 of 74 papers

TitleStatusHype
Automatic speaker verification spoofing and deepfake detection using wav2vec 2.0 and data augmentationCode1
FSD: An Initial Chinese Dataset for Fake Song DetectionCode1
End-to-end anti-spoofing with RawNet2Code1
Bts-e: Audio deepfake detection using breathing-talking-silence encoderCode1
AASIST: Audio Anti-Spoofing using Integrated Spectro-Temporal Graph Attention NetworksCode1
CLAD: Robust Audio Deepfake Detection Against Manipulation Attacks with Contrastive LearningCode1
Detect All-Type Deepfake Audio: Wavelet Prompt Tuning for Enhanced Auditory PerceptionCode1
Comprehensive Layer-wise Analysis of SSL Models for Audio Deepfake DetectionCode1
Defense Against Adversarial Attacks on Audio DeepFake DetectionCode1
HM-Conformer: A Conformer-based audio deepfake detection system with hierarchical pooling and multi-level classification token aggregation methodsCode1
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