Audio Summarization of Podcasts

Year : 2024 | Volume :11 | Issue : 03 | Page : –
By

Devika Rani Roy,

Sakshi Narendra Patil,

Ritika Baban Parate,

Tanaya More,

  1. Professor, Information Technology, K C College of Engineering and Management studies and Research, Thane, Maharashtra, India
  2. Student, Information Technology, K C College of Engineering and Management studies and Research, Thane, Maharashtra, India
  3. Student, Information Technology, K C College of Engineering and Management studies and Research, Thane, Maharashtra, India
  4. Student, Information Technology, K C College of Engineering and Management studies and Research, Thane, Maharashtra, India

Abstract

Podcasts have emerged as a significant medium for disseminating information, sharing stories, and providing entertainment. As their popularity continues to soar, the sheer volume of available content poses a challenge for listeners seeking to efficiently consume information. In this context, creating and deploying an audio summarizer for podcasts becomes highly significant. This research paper delves into the motivation for creating such a tool, emphasizing the increasing need for concise and informative summaries that can help users navigate the vast array of podcast episodes more effectively. By providing an overview of the methodology used for summarization, the paper outlines the steps involved in distilling key points from lengthy audio content. It also delves into the technological foundations enabling audio summarization, such as advancements in natural language processing, machine learning algorithms, and speech-to-text technology. Additionally, the paper discusses potential applications of an audio summarizer, highlighting its utility for various user groups such as busy professionals, students, and casual listeners who aim to stay informed without investing extensive time. Overall, the development of an audio summarizer for podcasts represents a crucial innovation in enhancing the accessibility and efficiency of information consumption in the digital age.

Keywords: Audio summarizer, podcast summarizer, Natural Language Processing (NLP), Automatic Speech Recognition (ASR), Text-to-Speech (TTS), Content Discovery, Podcast Transcription, Text Summarization, Podcasting Technology, Audio Processing.

[This article belongs to Journal of Software Engineering Tools & Technology Trends (josettt)]

How to cite this article:
Devika Rani Roy, Sakshi Narendra Patil, Ritika Baban Parate, Tanaya More. Audio Summarization of Podcasts. Journal of Software Engineering Tools & Technology Trends. 2024; 11(03):-.
How to cite this URL:
Devika Rani Roy, Sakshi Narendra Patil, Ritika Baban Parate, Tanaya More. Audio Summarization of Podcasts. Journal of Software Engineering Tools & Technology Trends. 2024; 11(03):-. Available from: https://journals.stmjournals.com/josettt/article=2024/view=172139



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Regular Issue Subscription Review Article
Volume 11
Issue 03
Received June 28, 2024
Accepted August 2, 2024
Published September 14, 2024
Views: 27

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