Reshaping the Sound Landscape: The Application and Development of AI in the Sound Creation of Chinese Podcasts in the Era of Intelligent Media

Lingyu Kuai

doi:10.54254/2753-7064/36/2024BJ1009

Research Article

Open access

Published on 18 October 2024

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Kuai,L. (2024). Reshaping the Sound Landscape: The Application and Development of AI in the Sound Creation of Chinese Podcasts in the Era of Intelligent Media. Communications in Humanities Research,36,185-194.

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Reshaping the Sound Landscape: The Application and Development of AI in the Sound Creation of Chinese Podcasts in the Era of Intelligent Media

Lingyu Kuai *^,1,

¹ China West Normal University

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2753-7064/36/2024BJ1009

Abstract

With the rapid development of intelligent media technology, AI has greatly enriched the creation means and expression forms of Chinese podcasts and reshaped the diversity and personalization of speech synthesis, audio editing and content generation, through the diversity and personalization of sound landscape. Through the specific application cases of AI in the creation of Chinese podcast voice, this paper analyzes its positive effects in improving the efficiency of creation, optimizing user experience and promoting the development of the industry, and looks forward to the future development trend and challenges, aiming to provide valuable reference and inspiration for the development of the field of Chinese podcast

Keywords

artificial intelligence, Chinese podcast, AI technology, sound landscape

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The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of ICADSS 2024 Workshop: International Forum on Intelligent Communication and Media Transformation

Conference website: https://2024.icadss.org/

ISBN：978-1-83558-451-4(Print) / 978-1-83558-452-1(Online)

Conference date: 18 October 2024

Editor：Enrique Mallen

Series: Communications in Humanities Research

Volume number: Vol.36

ISSN：2753-7064(Print) / 2753-7072(Online)

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