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Survey on Video Summarization using Extracted Audio

Authors

  • Tintu Alphonsa Thomas

    Amal Jyothi College Of Engineering
    Author

  • Nandana Rajagopal

    Amal Jyothi College Of Engineering
    Author

  • Neethu Liz Shaji

    Amal Jyothi College Of Engineering
    Author

  • Silby Elza Simon

    Amal Jyothi College Of Engineering
    Author

  • P Sree Parvathy

    Amal Jyothi College Of Engineering
    Author

Abstract

Summarization of videos using extracted
audio is an area of natural language processing that aims
to summarize videos like lectures, podcasts and meetings
that cannot be effectively summarized using just video
frames. The task can be divided into four steps: audio
extraction, speech-to-text, text preprocessing, and text
summarization. This paper discusses about research in
these four areas. 

Keywords:

PEGASUS, FCN, ASR
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Published

16-07-2025

Issue

Vol. 3 No. 1 (2023): IJERA

Section

Articles

License

Copyright (c) 2023 International Journal on Emerging Research Areas

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

All published work in this journal is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

How to Cite

[1]
T. A. Thomas, N. Rajagopal, N. L. Shaji, S. E. Simon, and S. P. P, “Survey on Video Summarization using Extracted Audio”, IJERA, vol. 3, no. 1, pp. 159–162, Jul. 2025, Accessed: Aug. 13, 2025. [Online]. Available: https://ijera.in/index.php/IJERA/article/view/68