摘要
本文提出了一种高效学习的端到端智能交互技术,解决了闽南语语音交互难题,并分析探讨了闽南语语音交互在广播电视与视听新媒体节目智慧监管中的应用与展望。
This paper proposes an efficient learning end-to-end intelligent interaction technology,which solves the problem of Hokkien voice interaction,analyzes and discusses the application and prospect of Hokkien voice interaction in the intelligent supervision of radio and television and audio-visual new media programs.
作者
郑晔
欧智坚
杨艇
Zheng Ye;Ou Zhijian;Yang Ting(Fujian Radio and Television Monitoring Center,Fujian 350001,China;Department of Electronic Engineering,Tsinghua University,Beijing 100084,China)
出处
《广播与电视技术》
2022年第11期124-127,共4页
Radio & TV Broadcast Engineering
关键词
闽南语
语音识别
语音合成
智慧广电监管
Hokkien
Speech recognition
Speech synthesis
Smart radio and television supervision
