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作 者:孙滨[1] SUN Bin(Shandong Tai’an Central Hospital,Tai’an 271000,China)
出 处:《电声技术》2024年第5期90-92,共3页Audio Engineering
摘 要:随着深度学习算法的发展,声音合成技术不仅改善了用户体验,而且为广播电视台网站的全球化发展和无障碍服务提供了强大支持。在分析广播电视台网站维护现状的基础上,从自动生成音频、内容无障碍访问、多语种内容本地化以及交互式语音服务4个方面,深入探讨声音合成技术在广播电视台网站维护中的应用。通过实际案例展示,证明声音合成技术能够显著提升配音效率和内容生产能力,在广播电视台网站维护中具有较高的应用价值。With the development of deep learning algorithms,sound synthesis technology has not only improved user experience,but also provided strong support for the global development and accessibility services of radio and television station websites.Based on the analysis of the current maintenance status of radio and television station websites,this paper explores the application of sound synthesis technology in the maintenance of radio and television station websites from four aspects:automatic generation of audio,accessible content,localization of multilingual content,and interactive voice services.Through practical case studies,it has been proven that sound synthesis technology can significantly improve dubbing efficiency and content production capacity,and has high application value in the maintenance of radio and television station websites.
分 类 号:TN949.292[电子电信—信号与信息处理]
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