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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
Retrieval-Augmented Audio Deepfake Detection0
Cross-Domain Audio Deepfake Detection: Dataset and Analysis0
Heterogeneity over Homogeneity: Investigating Multilingual Speech Pre-Trained Models for Detecting Audio DeepfakeCode0
Exploring Green AI for Audio Deepfake DetectionCode0
Audio Deepfake Detection with Self-Supervised WavLM and Multi-Fusion Attentive Classifier0
Towards generalisable and calibrated synthetic speech detection with self-supervised representations0
Complex-valued neural networks for voice anti-spoofing0
The DKU-DUKEECE System for the Manipulation Region Location Task of ADD 20230
TranssionADD: A multi-frame reinforcement based sequence tagging model for audio deepfake detection0
Betray Oneself: A Novel Audio DeepFake Detection Model via Mono-to-Stereo ConversionCode0
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