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| Main Authors: | , , , , |
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| Format: | Recurso digital |
| Language: | |
| Published: |
Zenodo
2026
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| Subjects: | |
| Online Access: | https://doi.org/10.5281/zenodo.19255264 |
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Table of Contents:
- AI-Based Multimodal Debate Analysis System for Objective Evaluation is an intelligent, web-based assess-ment platform designed to automatically evaluate debate performances. It analyzes textual, audio, and visual cues in real time to assess logical reasoning, persuasive delivery, emotional expression, and factual accuracy. By integrating automatic speech recognition, transformer-based natural language processing, audio prosodic analysis, facial emotion recognition, and automated fact-checking, the system en-sures comprehensive and unbiased evaluation across di-verse debate scenarios. The solution enhances fairness, con-sistency, and scalability in academic, educational, and com-petitive environments.