Exploration of the Application of Artificial Intelligence Generated Content Technology in Traditional Media Offline Activities

REN Hai-quan

doi:10.3969/j.issn.2096-6091.2023.22.006

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Exploration of the Application of Artificial Intelligence Generated Content Technology in Traditional Media Offline Activities

CORRESPONDENCE | 更新时间：2025-03-26

- Exploration of the Application of Artificial Intelligence Generated Content Technology in Traditional Media Offline Activities
- New Generation of Information Technology Vol. 6, Issue 22, Pages: 37-40(2023)
- 作者机构：
  
  北京广播电视台广电技术中心，北京100022
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.2096-6091.2023.22.006
  CLC： TN9;TP30
- Published：30 November 2023
- 稿件说明：
移动端阅览
任海全. 人工智能生成内容技术在传统媒体线下活动中的应用探析[J]. 新一代信息技术, 2023, 6(22): 37-40

REN Hai-quan. Exploration of the Application of AIGC(Artificial Intelligence Generated Content) Technology in Traditional Media Offline Activities[J]. New Generation of Information Technology, 2023, 6(22): 37-40
任海全. 人工智能生成内容技术在传统媒体线下活动中的应用探析[J]. 新一代信息技术, 2023, 6(22): 37-40 DOI： 10.3969/j.issn.2096-6091.2023.22.006.

REN Hai-quan. Exploration of the Application of AIGC(Artificial Intelligence Generated Content) Technology in Traditional Media Offline Activities[J]. New Generation of Information Technology, 2023, 6(22): 37-40 DOI： 10.3969/j.issn.2096-6091.2023.22.006.

摘要

随着人工智能技术的飞速发展，人工智能生成内容（Artificial Intelligence Generated Content，AIGC）技术逐渐渗透到媒体生产的各个环节，其在传统媒体线下活动中的应用也开始逐步展现出独特的优势。本文旨在通过结合AIGC技术在北京广播电视台线下活动的具体案例，介绍AIGC技术在传统媒体线下活动中的应用及其优势，总结AIGC技术对传统媒体线下活动的影响。

Abstract

With the rapid development of artificial intelligence technology

AIGC (Artificial Intelligence Generated Content) technology has gradually penetrated various aspects of media production

and its application in traditional media offline activities has begun to demonstrate unique advantages. This paper aims to introduce the application and advantages of AIGC technology in traditional media offline activities

as well as to summarize its impact on these activities

by combining specific case studies from offline events organized by Beijing Radio and Television Station with AIGC technology.

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references

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北京市科学技术委员会 , 中关村科技园管理委员会 . 北京市人工智能行业大模型创新应用白皮书 ( 2023 年)[R/OL ] . ( 2023-11-29 )[ 2024-12-12 ] . https://www.beijing.gov.cn/ywdt/gzdt/202311/t20231129_3321720.html https://www.beijing.gov.cn/ywdt/gzdt/202311/t20231129_3321720.html .

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赵伟 . 面向高效语音合成的深度神经网络声学建模研究 [D ] . 杭州 : 浙江大学电气工程学院 , 2023 .

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