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Implementing a Lecture Summary Application Using STT API and ChatGPT API

  • Journal of Internet of Things and Convergence
  • Abbr : JKIOTS
  • 2025, 11(3), pp.167~174
  • Publisher : The Korea Internet of Things Society
  • Research Area : Engineering > Computer Science > Internet Information Processing
  • Received : May 14, 2025
  • Accepted : June 11, 2025
  • Published : June 30, 2025

Jin-Woong Kim 1 Bo-Seong Geum 1 KIM, TAEKOOK 1

1국립부경대학교

Accredited

ABSTRACT

Since the emergence of ChatGPT, there has been growing interest in its application across various domains. This paper proposes a lecture summarization application designed for mobile devices with Internet connectivity. The application offers three core functionalities: (1) recording and saving the lecturer’s voice as an audio file, (2) converting the recorded audio into text using a speech-to-text engine, and (3) generating a summarized version of the lecture using the ChatGPT API based on the transcribed text. With the transition from online to face-to-face classes following the end of the COVID-19 pandemic, the ability to rewatch recorded lectures has diminished. The proposed application addresses this issue by providing automated summaries, thereby reducing review time and enhancing learning efficiency. Furthermore, the system holds significant potential for broader applications, including automated meeting minutes summarization and other professional use cases

Citation status

* References for papers published after 2023 are currently being built.

This paper was written with support from the National Research Foundation of Korea.