人工智能技术在广播电视新闻采访中的应用研究
Research on Application of Artificial Intelligence Technology in Broadcast and Television News Interviews
李解1
作者信息
- 1. 临沂市广播电视台,山东 临沂 276000
- 折叠
摘要
深入探讨人工智能(Artificial Intelligence,AI)技术在广播电视新闻采访中的应用现状,结合某融媒体中心的实际案例,分析AI技术如何赋能新闻采访准备、实时字幕生成、智能剪辑和编辑等关键环节.案例分析表明,通过采用迁移学习、多任务联合学习、图卷积网络及强化学习等先进技术,可以有效提升方言语音识别准确率、人脸识别效率及智能剪辑精度等关键指标,显著提高新闻采访效率和节目质量.
Abstract
This paper explores the use of Artificial Intelligence (AI) in broadcast television news interviews.It uses a case study from a district convergence media center to show how AI helps in preparing for interviews,generating real-time subtitles,and smart editing.The case study shows that advanced technologies like transfer learning,multi-task learning,graph convolutional networks,and reinforcement learning can improve the accuracy of dialect speech recognition,the efficiency of facial recognition,and the precision of smart editing.This boosts the efficiency of news interviews and the quality of programs.
关键词
人工智能(AI)/广播电视/新闻采访Key words
Artificial Intelligence (AI)/broadcast and television/news interviews引用本文复制引用
出版年
2024
NETL
NSTL
万方数据