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Original Article

Deep Guard AV: Audio-Visual Deepfake Detection Framework Using Hybrid Audio Learning, CNN-LSTM Video Analysis, and Automated Transcript Logging

  • Paper ID 1102
  • Volume 7, Issue 2
  • Pages 493-499
  • Published Online: March-April 2026
  • 10 Views
Open Access Peer Reviewed Crossref DOI

Authors

  • Aylwin Vivian Singh1
  • Arjun Vinod Shinde2

1 Department of Computer Science (Artificial Intelligence), Shri Shankaracharya Technical Campus/Chhattisgarh Swami Vivekanand Technical University, India. 2 Assistant Professor, Department of Computer Science, Shri Shankaracharya Technical Campus/Chhattisgarh Swami Vivekanand Technical University, India.

Article Information

Published Online
March-April 2026
Pages
493-499
Article Type
Original Article
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References

1. Y. Li and S. Lyu, “Exposing DeepFake Videos by Detecting Face Warping Artifacts,” in Proc. IEEE Conf. on Computer Vision and
Pattern Recognition Workshops (CVPRW), 2019.
2. A. Rössler, D. Cozzolino, L. Verdoliva, C. Riess, J. Thies, and M. Nießner, “FaceForensics++: Learning to Detect Manipulated Facial
Images,” in Proc. IEEE Int. Conf. on Computer Vision (ICCV), 2019.
3. T. T. Nguyen, Q. V. H. Nguyen, D. T. Nguyen, D. T. Nguyen, and S. Nahavandi, “Deep Learning for Deepfakes Creation and
Detection: A Survey,” IEEE Access, vol. 7, pp. 134134–134147, 2019.
4. D. Cozzolino, J. Thies, A. Rössler, C. Riess, M. Nießner, and L. Verdoliva, “ForensicTransfer: Weakly-supervised Domain Adaptation
for Forgery Detection,” arXiv preprint arXiv: 1812.02510, 2018.
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