Work

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

Year: 2025

Type: conference-paper

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

Source: Southeast Asian Conference on Education official conference proceedings

DOI: 10.22492/issn.2435-5240.2025.49

Author: Koichi Yoshizaki

Language: English

Topic: Subtitles and Audiovisual Media

Subfield: Language and Linguistics

Field: Arts and Humanities

Domain: Social Sciences

SDG: Quality education

Open Access status: hybrid

Funder: Japan Society for the Promotion of Science

Award: Development and operation of a digital learning environment that visualizes online learning activities