Research On The Application And Development Strategy Of AI Speech Synthesis Technology In Network Audio Platforms

With the continuous changes in media technology,the status of "sound" as an auxiliary medium is changing,and the value of sound and audio is gradually being explored.In the context of mobile information dissemination,online audio has begun to enter the public’s perspective,and the flourishing of major audio platforms has brought new development opportunities to the audio industry.In recent years,online audio header platforms have joined the ranks of using AI speech synthesis technology,providing listeners with different auditory experiences through intelligent,user-friendly,and professional services.In the context of the auditory culture shift,AI speech synthesis technology has created a new artificial sound landscape,so it is necessary to explore the presentation of AI sound elements in online audio content.This study first traces the origin of AI speech synthesis technology and online audio platforms,and finds that deep learning is the mainstream method of speech synthesis at present.However,the application of AI speech synthesis technology in online audio platforms has entered a vigorous period of development.In fact,AI works have already existed on video platforms,and now,with the help of the development of online audio,they have significant development potential.This article conducts a research on representative online audio AI services in the current market,selecting AI voice works from cloud listening platforms that focus on news and information,Himalayas that focus on comprehensive audio services,and Dinosaur Baker platform that focuses on children’s educational content,to conduct a specific study and summarize their application functions and practical results.Based on the analysis of typical cases and questionnaire analysis using SPSS software,this article summarizes the application difficulties of AI speech synthesis technology in network audio platforms,including low market entry barriers,lack of AI application functions,difficulty in ensuring the quality of synthesized speech,and risk of infringement.In response to the above issues,this article provides solutions to strengthen sound market management,optimize AI audio service functions,improve the quality of synthesized speech,and adhere to ethical and legal principles.It is hoped that through this research,it can provide reference for the positive application and development of AI voice synthesis technology in the field of network audio,creating a new sound environment.