Research on innovation and application of 5G using artificial intelligence-based image and speech recognition technologies

被引:9
作者
Fan, Hu [1 ]
机构
[1] Hubei Univ Technol, Engn & Technol Coll, Wuhan 430068, Peoples R China
关键词
Digital media art (DMA); Artificial intelligence (AI); Virtual reality (VR); Artificial intelligence-based image; recognition technology (AI-IRT); Artificial intelligence-based speech; recognition technology (AI-SRT);
D O I
10.1016/j.jksus.2023.102626
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Many sectors have been fundamentally altered by the entrance of the 5G era due to the rapid advance-ment of information technology and computer technology. A fresh wave of digital media art (DMA) cre-ation and invention has taken place in the current context. DMA is a brand-new field of study that brings together art and digital technology in a powerful way. It is a modern, multidisciplinary, and versatile art topic that is merged with other art themes. Humans used to be the primary means of creating digital media like animation. The labor of creating media content from raw sources is progressively being replaced by computers with advancements in artificial intelligence (AI) technology. Virtual reality (VR) technology's popularity has rapidly spread beyond the computer area to other parts of life, and it has also evolved into a new approach to DMA. Art will surely be highly influenced in the AI age, but we must also recognize the new developments brought to art by technical advancement in the 5G and AI. Hence, in this work, we examine the properties of virtual reality technology as well as the two most widely utilized approaches, artificial intelligence-based image recognition technology (AI-IRT) and artificial intelligence-based speech recognition technology (AI-SRT). We investigate and practice them in detail. We also compared these technologies to conventional teaching methods and discovered that visuals and pictures were considerably more responsive and enlightening to students than traditional teaching methods.& COPY; 2023 The Author(s). Published by Elsevier B.V. on behalf of King Saud University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页数:8
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