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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 5160 of 74 papers

TitleStatusHype
TranssionADD: A multi-frame reinforcement based sequence tagging model for audio deepfake detection0
Replay Attacks Against Audio Deepfake Detection0
Representation Loss Minimization with Randomized Selection Strategy for Efficient Environmental Fake Audio Detection0
Retrieval-Augmented Audio Deepfake Detection0
ADD 2023: Towards Audio Deepfake Detection and Analysis in the Wild0
SLIM: Style-Linguistics Mismatch Model for Generalized Audio Deepfake Detection0
What Does an Audio Deepfake Detector Focus on? A Study in the Time Domain0
Audio Deepfake Detection Based on a Combination of F0 Information and Real Plus Imaginary Spectrogram Features0
Audio Deepfake Detection with Self-Supervised WavLM and Multi-Fusion Attentive Classifier0
A Preliminary Exploration with GPT-4o Voice Mode0
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