DeepFake on face and expression swap: A review
Remarkable advances have been made in deep learning, leading to the emergence of
highly realistic AI-generated videos known as deepfakes. Deepfakes use generative models …
highly realistic AI-generated videos known as deepfakes. Deepfakes use generative models …
[HTML][HTML] Video and audio deepfake datasets and open issues in deepfake technology: being ahead of the curve
Z Akhtar, TL Pendyala, VS Athmakuri - Forensic Sciences, 2024 - mdpi.com
The revolutionary breakthroughs in Machine Learning (ML) and Artificial Intelligence (AI) are
extensively being harnessed across a diverse range of domains, eg, forensic science …
extensively being harnessed across a diverse range of domains, eg, forensic science …
Safeear: Content privacy-preserving audio deepfake detection
Text-to-Speech (TTS) and Voice Conversion (VC) models have exhibited remarkable
performance in generating realistic and natural audio. However, their dark side, audio …
performance in generating realistic and natural audio. However, their dark side, audio …
Fake artificial intelligence generated contents (FAIGC): a survey of theories, detection methods, and opportunities
In recent years, generative artificial intelligence models, represented by Large Language
Models (LLMs) and Diffusion Models (DMs), have revolutionized content production …
Models (LLMs) and Diffusion Models (DMs), have revolutionized content production …
Audio deepfake detection with self-supervised xls-r and sls classifier
Q Zhang, S Wen, T Hu - Proceedings of the 32nd ACM International …, 2024 - dl.acm.org
Generative AI technologies, including text-to-speech (TTS) and voice conversion (VC),
frequently become indistinguishable from genuine samples, posing challenges for …
frequently become indistinguishable from genuine samples, posing challenges for …
Audio–visual deepfake detection using articulatory representation learning
Y Wang, H Huang - Computer Vision and Image Understanding, 2024 - Elsevier
Advancements in generative artificial intelligence have made it easier to manipulate auditory
and visual elements, highlighting the critical need for robust audio–visual deepfake …
and visual elements, highlighting the critical need for robust audio–visual deepfake …
Slim: Style-linguistics mismatch model for generalized audio deepfake detection
Audio deepfake detection (ADD) is crucial to combat the misuse of speech synthesized from
generative AI models. Existing ADD models suffer from generalization issues, with a large …
generative AI models. Existing ADD models suffer from generalization issues, with a large …
Spmis: An investigation of synthetic spoken misinformation detection
In recent years, speech generation technology has advanced rapidly, fueled by generative
models and large-scale training techniques. While these developments have enabled the …
models and large-scale training techniques. While these developments have enabled the …
From Audio Deepfake Detection to AI-Generated Music Detection--A Pathway and Overview
As Artificial Intelligence (AI) technologies continue to evolve, their use in generating realistic,
contextually appropriate content has expanded into various domains. Music, an art form and …
contextually appropriate content has expanded into various domains. Music, an art form and …
[PDF][PDF] Towards generalisable and calibrated audio deepfake detection with self-supervised representations
Generalisation—the ability of a model to perform well on unseen data—is crucial for building
reliable deepfake detectors. However, recent studies have shown that the current audio …
reliable deepfake detectors. However, recent studies have shown that the current audio …