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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 2130 of 74 papers

TitleStatusHype
SpecRNet: Towards Faster and More Accessible Audio DeepFake DetectionCode1
Defense Against Adversarial Attacks on Audio DeepFake DetectionCode1
Detect All-Type Deepfake Audio: Wavelet Prompt Tuning for Enhanced Auditory PerceptionCode1
Automatic speaker verification spoofing and deepfake detection using wav2vec 2.0 and data augmentationCode1
XLSR-Mamba: A Dual-Column Bidirectional State Space Model for Spoofing Attack DetectionCode1
End-to-end anti-spoofing with RawNet2Code1
Betray Oneself: A Novel Audio DeepFake Detection Model via Mono-to-Stereo ConversionCode0
Does Current Deepfake Audio Detection Model Effectively Detect ALM-based Deepfake Audio?Code0
Rehearsal with Auxiliary-Informed Sampling for Audio Deepfake DetectionCode0
Measuring the Robustness of Audio Deepfake DetectorsCode0
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