D. Brdjanin, G. Banjac, Nebojša Babić, Nenad Golubovic
{"title":"面向语音驱动的数据库设计","authors":"D. Brdjanin, G. Banjac, Nebojša Babić, Nenad Golubovic","doi":"10.1109/TELFOR56187.2022.9983727","DOIUrl":null,"url":null,"abstract":"The paper presents an early prototype of an online tool named SpeeD, which is aimed at conversion of a recorded speech into the corresponding conceptual database model. SpeeD is the first tool that provides such functionality. The tool is currently able to process English speech and generate the model represented by the corresponding UML class diagram.","PeriodicalId":277553,"journal":{"name":"2022 30th Telecommunications Forum (TELFOR)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Towards the Speech-driven Database Design\",\"authors\":\"D. Brdjanin, G. Banjac, Nebojša Babić, Nenad Golubovic\",\"doi\":\"10.1109/TELFOR56187.2022.9983727\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents an early prototype of an online tool named SpeeD, which is aimed at conversion of a recorded speech into the corresponding conceptual database model. SpeeD is the first tool that provides such functionality. The tool is currently able to process English speech and generate the model represented by the corresponding UML class diagram.\",\"PeriodicalId\":277553,\"journal\":{\"name\":\"2022 30th Telecommunications Forum (TELFOR)\",\"volume\":\"116 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 30th Telecommunications Forum (TELFOR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TELFOR56187.2022.9983727\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 30th Telecommunications Forum (TELFOR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TELFOR56187.2022.9983727","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The paper presents an early prototype of an online tool named SpeeD, which is aimed at conversion of a recorded speech into the corresponding conceptual database model. SpeeD is the first tool that provides such functionality. The tool is currently able to process English speech and generate the model represented by the corresponding UML class diagram.