听觉受损使用者沟通资讯系统计划

Diana Koshtura, N. Kunanets
{"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}
引用次数: 0

摘要

已经开发了将语音转换为文本以及文本分析的程序,以便为听力受损的人提供快速答案。这项工作将分析一个项目,该项目旨在创建一个信息系统,以便在对话者之一有听力障碍的情况下促进人与人之间的交流。将考虑使用语音识别技术、神经网络和机器学习将语音转换为文本的可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信