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作 者:陆维晨[1] Lu Weichen(College of Digital Art,Shanghai Art&Design Academy,Shanghai 201800,China)
机构地区:[1]上海工艺美术职业学院数码艺术学院,上海201800
出 处:《兵工自动化》2024年第3期26-29,47,共5页Ordnance Industry Automation
摘 要:针对目前人工智能技术在语音新闻播报应用中存在的问题,开展基于人工智能技术的自动语音播报技术实践分析。对人工智能语音播报过程进行剖析,进行前端接收、中间处理和成果输出3个层级探讨;对系统架构、逻辑结构进行设计;采用主函数、读卡函数和语音播报函数对该系统的运行过程进行模拟。结果表明:该系统具有较好的语言识别和准备播报能力,常规新闻播报准确率可达95%,对文字的解读效率较传统人工播报提升约56%,大幅降低了语音播报成本和错误率;该分析为智能语音播报技术的优化升级提供了一定参考。In view of the problems existing in the application of artificial intelligence technology in voice news broadcasting,the practice analysis of automatic voice broadcasting technology based on artificial intelligence technology is carried out.The process of artificial intelligence voice broadcast is analyzed,and three levels of front-end receiving,intermediate processing and results output are discussed;the system architecture and logical structure are designed;the main function,card reading function and voice broadcast function are used to simulate the operation process of the system.The results show that the system has a good ability of language recognition and preparation for broadcasting,the accuracy of conventional news broadcasting can reach 95%,and the efficiency of text interpretation is improved by about 56%compared with the traditional manual broadcasting,which greatly reduces the cost and error rate of voice broadcasting.The analysis provides a reference for the optimization and upgrading of intelligent voice broadcasting technology.
分 类 号:TP18[自动化与计算机技术—控制理论与控制工程] TN92[自动化与计算机技术—控制科学与工程]
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