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

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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
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article

Development of an ASR-Based Subtitle Generation System for Lecture Videos to Improve Searchability

Koichi Yoshizaki
Southeast Asian Conference on Education official conference proceedings
Subtitles and Audiovisual Media
article

Development of an ASR-Based Subtitle Generation System for Lecture Videos to Improve Searchability

Koichi Yoshizaki
article en

Abstract

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

Southeast Asian Conference on Education official conference proceedings
Openalex Percentile: Top 82%
Subtitles and Audiovisual Media
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Development of an ASR-Based Subtitle Generation System for Lecture Videos to Improve Searchability — Koichi Yoshizaki · Southeast Asian Conference on Education official conference proceedings (2025) | TGRS Research Map | TGRS