Debate Analyser: An AI-Based Multimodal Sys-tem for Automated Debate Evaluation and Winner Prediction
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| Format: | Recurso digital |
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Zenodo
2026
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| _version_ | 1866901182858919936 |
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| author | Jishna N V Aadi Sankar Ui Afiyo Tegy Anugraha Biju Christa Jose |
| author_facet | Jishna N V Aadi Sankar Ui Afiyo Tegy Anugraha Biju Christa Jose |
| 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. |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19255264 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Debate Analyser: An AI-Based Multimodal Sys-tem for Automated Debate Evaluation and Winner Prediction Jishna N V Aadi Sankar Ui Afiyo Tegy Anugraha Biju Christa Jose Multimodal Analysis Debate Evaluation Nat-ural Language Processing Emotion Recognition Fact-Checking Human–Computer Interaction AI-Based Assess-ment Systems 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. |
| title | Debate Analyser: An AI-Based Multimodal Sys-tem for Automated Debate Evaluation and Winner Prediction |
| topic | Multimodal Analysis Debate Evaluation Nat-ural Language Processing Emotion Recognition Fact-Checking Human–Computer Interaction AI-Based Assess-ment Systems |
| url | https://doi.org/10.5281/zenodo.19255264 |