{"title":"Research on GIS map componentization technology supporting voice interaction","authors":"Zheng Ren, Zhen Gao, Zhengzheng Ji","doi":"10.1117/12.2672190","DOIUrl":null,"url":null,"abstract":"In the network geographic information system, through voice interaction, the operation can be made simple, convenient and effective. To this end, this paper studies the GIS map component technology to support voice interaction. Build the overall design of GIS map components, which includes three layers: function layer, data layer and map UI layer. The functional layer is the main layer for realizing voice interaction. After audio enters the functional layer, voice recognition must be performed first. After understanding the semantics, the mapping feedback is completed, and voice interaction is realized and supported. Experiments show that the recognition speed of the content designed in this paper is relatively fast, and the highest recognition rate is 98.5%, which provides functional component support for the information processing of geospatial information.","PeriodicalId":120866,"journal":{"name":"Artificial Intelligence and Big Data Forum","volume":"407 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Artificial Intelligence and Big Data Forum","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2672190","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In the network geographic information system, through voice interaction, the operation can be made simple, convenient and effective. To this end, this paper studies the GIS map component technology to support voice interaction. Build the overall design of GIS map components, which includes three layers: function layer, data layer and map UI layer. The functional layer is the main layer for realizing voice interaction. After audio enters the functional layer, voice recognition must be performed first. After understanding the semantics, the mapping feedback is completed, and voice interaction is realized and supported. Experiments show that the recognition speed of the content designed in this paper is relatively fast, and the highest recognition rate is 98.5%, which provides functional component support for the information processing of geospatial information.