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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

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Showing 31–40 of 74 papers

TitleStatusHype
Strong Alone, Stronger Together: Synergizing Modality-Binding Foundation Models with Optimal Transport for Non-Verbal Emotion Recognition—0
SafeEar: Content Privacy-Preserving Audio Deepfake DetectionCode2
SONICS: Synthetic Or Not -- Identifying Counterfeit SongsCode1
Does Current Deepfake Audio Detection Model Effectively Detect ALM-based Deepfake Audio?Code0
WavLM model ensemble for audio deepfake detectionCode0
Temporal Variability and Multi-Viewed Self-Supervised Representations to Tackle the ASVspoof5 Deepfake Challenge—0
ADD 2023: Towards Audio Deepfake Detection and Analysis in the Wild—0
SLIM: Style-Linguistics Mismatch Model for Generalized Audio Deepfake Detection—0
Targeted Augmented Data for Audio Deepfake Detection—0
Deepfake Audio Detection Using Spectrogram-based Feature and Ensemble of Deep Learning Models—0
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