{"title":"听觉受损使用者沟通资讯系统计划","authors":"Diana Koshtura, N. Kunanets","doi":"10.1109/CSIT56902.2022.10000866","DOIUrl":null,"url":null,"abstract":"Programs have been developed to convert speech into text as well as text analysis for quick answers for people with hearing impairments. This work will analyze a project to create an information system that facilitates communication between people, in the case when one of the interlocutors has a hearing impairment. The possibility of using speech recognition technologies, neural networks, and machine learning to transform speech into text will be considered.","PeriodicalId":282561,"journal":{"name":"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)","volume":"182 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Information Sysem Project for Communication of Hearing Impaired Users\",\"authors\":\"Diana Koshtura, N. Kunanets\",\"doi\":\"10.1109/CSIT56902.2022.10000866\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Programs have been developed to convert speech into text as well as text analysis for quick answers for people with hearing impairments. This work will analyze a project to create an information system that facilitates communication between people, in the case when one of the interlocutors has a hearing impairment. The possibility of using speech recognition technologies, neural networks, and machine learning to transform speech into text will be considered.\",\"PeriodicalId\":282561,\"journal\":{\"name\":\"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)\",\"volume\":\"182 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSIT56902.2022.10000866\",\"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 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSIT56902.2022.10000866","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Information Sysem Project for Communication of Hearing Impaired Users
Programs have been developed to convert speech into text as well as text analysis for quick answers for people with hearing impairments. This work will analyze a project to create an information system that facilitates communication between people, in the case when one of the interlocutors has a hearing impairment. The possibility of using speech recognition technologies, neural networks, and machine learning to transform speech into text will be considered.