Audio–visual deepfake detection using articulatory representation learning
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Recent multimodal deepfake detection research has begun to exploit richer behavioral and biometric correspondences between face, voice, and motion.
“Beyond temporal synchronization, recent multimodal deepfake detection research has begun to exploit richer behavioral and biometric correspondences between face, voice, and motion [16-20].”
From A Review of Tools and Technologies to Combat Deepfakes (2026) · cites this paper as [20]
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Prakash, P., & Jaffino, G. (2026) · Engineering Research Express · doi:10.1088/2631-8695/ae6c97
Transdefend-VC: A Transformer-Driven Deepfake Defense Mechanism for Secure Video Conferencing
Singh, P., Vairagade, R. S., Pawar, P., & Mishra, S. (2026) · Automation and Remote Control · doi:10.1134/s0005117925601587
Deepfake-Driven Cybercrimes: A Governance Framework from Criminology, Law, and Computer Science
Xu, R., & Liu, J. (2026) · Guangdong-Hong Kong-Macao Greater Bay Area International Conference on Digital Economy and Artificial Intelligence (DEAI) · doi:10.1145/3837873.3838037
Sharma, V. K., Rawat, S., & Caudron, Q. (2026) · Iranian Journal of Science and Technology Transactions of Electrical Engineering · doi:10.1007/s40998-026-01247-4
DeepAuthNet: A Deep Learning Framework for Multimodal Synthetic Media Detection
Nancy, A. M., Pereira, S. N., & Choudhary, A. (2026) · International Conference on Innovation & Growth in Next-Gen Intelligent Technology & Engineering (IGNITE) · doi:10.1109/ignite69592.2026.11706202
Multi-cepstral feature integration for audio deepfake detection under domain shift
Alfano, D., Bisogni, C., Nappi, M., Narducci, F., & Pero, C. (2026) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2026.104981
- Authors
- Wang, Y., & Huang, H.
- Affiliations
- Beijing Normal University (CN)
- Corresponding author
- Huang, Hua
- Venue
- Computer Vision and Image Understanding
- Publisher
- Elsevier BV
- Published
- 2024-11
- Volume
- 248
- Pages
- 104133
- ISSN
- 1077-3142 (ISSN-L)
- OpenAlex
- W4401798331
- Cited by
- 28
- References
- 81
- Citations by year
- 2026: 14 · 2025: 11 · 2024: 3
- FWCI
- 3.94
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Computer Vision and Image Understanding (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Digital Media Forensic Detection
- Physical Sciences › Computer Science › Artificial Intelligence › Speech Recognition and Synthesis
- Physical Sciences › Computer Science › Signal Processing › Speech and Audio Processing
- Keywords
- articulatory representation, articulatory features, audio encoder, self-supervised learning, multimodal fusion, audio-visual consistency
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