Ez minutes: Minutes of the meeting transcriber/
Elizabeth M. Guevarra, Bryan Aiman O. Manalaysay, Alexander G. Rosete, and Kyle Vencel P. So.--
- Manila: Technological University of the Philippines, 2025.
- ix, 82pages: 29cm.
Bachelor's thesis
College of Science.--
Includes bibliographic references and index.
This study aimed to develop a system that automatically extracts and generates a structured meeting summary from recorded meeting sessions in both audio and video format. The primary goal of the application is to streamline the process of meeting documentation by automating transcription, agenda/topic identification, and summarization into a well-organized minutes document. This research supported both English and Filipino languages, and code-switched combinations of both that will prove to be a big help for meetings held academically and professionally in the Philippines. The system made use of the following tools to ensure it carries out its goals and objectives: FFmpeg for audio extraction, Faster Whisper for speech-to-text transcriptions, Pyannote for speaker diarization, FastText for language identification, a Language Model (LM) by META, Llama 3.1 8b, for agenda detection with other principles for LM and NLP to make the generation of meeting minutes possible, feasible, and accurate. The system was evaluated using the ISO 25010 criteria in terms of the system's functional stability, performance efficiency, usability, reliability, and maintainability. The system was graded with an acceptability rating of 3.42 that is interpreted as "Highly Acceptable".