International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | Computational Debate Evaluation Model |
|---|---|
| ABSTRACT | Debates are often hard to judge because people speak quickly, mix many ideas, and use different styles of argument. To make this easier, we created a system that can listen to a debate and give a clear evaluation. The model takes an audio recording, turns it into text, and then checks the arguments, claims, and counter points made by each speaker. Our system uses a chain of steps: cleaning the audio, converting speech to text, and studying the sentences with language-processing methods. These steps help the model understand the debate well, even if the speakers talk fast or if the recording has some noise. During testing, the system gave steady and meaningful results on different debate samples The main aim of this project is to help people get a fair and simple explanation of who argued better. The tool includes an easy interface where users can record or upload debate audio and receive a short, understandable summary of the debate performance. |
| AUTHOR | SHWETHASREE R., KADAPPA I DADDENNAVAR, PRABHUDEV M BADDUR, SUHAS P |
| VOLUME | 176 |
| DOI | DOI: 10.15680/IJIRCCE.2025.1311104 |
| pdf/104_Computational Debate Evaluation Model.pdf | |
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