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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 6170 of 74 papers

TitleStatusHype
Betray Oneself: A Novel Audio DeepFake Detection Model via Mono-to-Stereo ConversionCode0
Bts-e: Audio deepfake detection using breathing-talking-silence encoderCode1
Defense Against Adversarial Attacks on Audio DeepFake DetectionCode1
SpecRNet: Towards Faster and More Accessible Audio DeepFake DetectionCode1
Audio Deepfake Detection Based on a Combination of F0 Information and Real Plus Imaginary Spectrogram Features0
Attack Agnostic Dataset: Towards Generalization and Stabilization of Audio DeepFake DetectionCode1
Does Audio Deepfake Detection Generalize?0
The Vicomtech Audio Deepfake Detection System based on Wav2Vec2 for the 2022 ADD Challenge0
Automatic speaker verification spoofing and deepfake detection using wav2vec 2.0 and data augmentationCode1
ADD 2022: the First Audio Deep Synthesis Detection Challenge0
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