Voting-based Multimodal Automatic Deception Detection
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- DOI 10.48550/arxiv.2307.07516
- OpenAlex ID W4384652125
- Type Preprint
- Language EN
- Published 30 Jun 2023
- Source arXiv (Cornell University)
- Publisher Cornell University
- Countries 1
- Institutions 1
- Added 19 Jul 2023
- Updated 03 Oct 2026
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Voting-based Multimodal Automatic Deception Detection
Preprint 2023 EN Green
Automatic Deception Detection has been a hot research topic for a long time, using machine learning and deep learning to automatically detect deception, brings new light to this old field. In this paper, we proposed a voting-based method for automatic deception detection from videos using audio, visual and lexical features. Experiments were done on two datasets, the Real-life trial dataset by Mich…
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5 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Lana Touma | Arab International University (SY) | — |
| 2 | Mohammad Al Horani | Arab International University (SY) | — |
| 3 | Manar Tailouni | Arab International University (SY) | — |
| 4 | Anas Dahabiah | Arab International University (SY) | — |
| 5 | Khloud Al Jallad | — |
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