The Application of Sound Synthesis Technology in the Maintenance of Radio and Television Station Websites
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.
NETL
NSTL
万方数据
