Development of an ASR-based Subtitle Generation System for Lecture Videos to Improve Searchability (90717)

Session Information:

Saturday, 22 February 2025 16:00
Session: Poster Session
Room: Conference Hall 1 (3F)
Presentation Type: Poster Presentation

All presentation times are UTC + 8 (Asia/Kuala_Lumpur)

Video is often used in online learning. However, video materials generally lack searchability, which is a major problem, especially for learning that involves videos with long playback times or multiple video files. In this study, I have developed a function to automatically generate subtitles to lecture videos uploaded by teachers. The subtitles were created using an automatic speech recognition (ASR) system. Specifically, OpenAI Whisper, an open-source ASR software, is used for recognizing speech in this study.The generated subtitle data is stored in a database and becomes the search target when learners perform keyword searches for lecture videos.In addition, the user interface is designed to display the generated subtitle data in sync with the video playback within the learning management system which I have developed. By adding these functions to the already developed learning management system, the accessibility and usability of lecture video materials were improved. Furthermore, this system allows learners to quickly locate specific information within lengthy videos, enhancing their learning efficiency and engagement.

Authors:
Koichi Yoshizaki, Oita University, Japan


About the Presenter(s)
Dr Koichi Yoshizaki is a University Assistant Professor/Lecturer at Oita University in Japan

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Posted by Clive Staples Lewis

Last updated: 2023-02-23 23:45:00