Development of an ASR-Based Subtitle Generation System for Lecture Videos to Improve Searchability
This study focused on improving the searchability of video-based online learning, specifically for Japanese lecture videos. A prototype semantic search API was developed to enhance search functionality using automatic speech recognition (ASR) and text embeddings. The system employs OpenAI Whisper to generate subtitles from uploaded videos. Text embeddings were generated using two models. The embeddings
Authors
- Koichi Yoshizaki
Publication Details
- Journal
- Southeast Asian Conference on Education official conference proceedings
- Published
- 2025-04-21
- DOI
- https://doi.org/10.22492/issn.2435-5240.2025.49
- Primary Topic
- Subtitles and Audiovisual Media
- Type
- article
- Field-Weighted Citation Impact
- 0.00