音频到手语翻译Web应用程序

Anju Yadav, Rahul Saxena, B. Saini, V. K. Verma, Vibhav Srivastava
{"title":"音频到手语翻译Web应用程序","authors":"Anju Yadav, Rahul Saxena, B. Saini, V. K. Verma, Vibhav Srivastava","doi":"10.1109/ComPE53109.2021.9751857","DOIUrl":null,"url":null,"abstract":"Sign language is an effective mode of conversation for persons who have difficulty speaking or hearing. There are numerous media accessible for translation or for identifying sign languages and converting those to text format, However, methods for converting text to sign language have been few and even not web-based software, owing to the scarcity of resources. The proposed web application seeks to develop a translating mechanism or automation that includes a parser element that converts the incoming speech data or English text to a phrase structure grammar representation, which is then used by another module that contains Indi Sign language grammatical format. This is accomplished through the means of removing stop-words from the reordered input format. Because Indian sign language does not provide word inflections, stemming and lemmatization are used to turn words into their root form. Following sentence filtration, all words are tested against the words in the database, which is represented as a dictionary comprising video representations of each word. If the words are missing from the database, the algorithm will then look for its related synonym and replace it with that term.In many ways, the proposed system is more innovative and efficient than existing systems, because Existing methods can only convert words directly into Indi sign language, and they were not as efficient as this system, whereas this in the actual world, the system tries to translate these phrases into Indian sign language grammatical order. Because this is a web-based programmed, it is straightforward to access and use. This technology is platform agnostic and more versatile to use, and it transforms phrases to sign language in real time.","PeriodicalId":211704,"journal":{"name":"2021 International Conference on Computational Performance Evaluation (ComPE)","volume":"2659 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Audio to Sign Language Translator Web Application\",\"authors\":\"Anju Yadav, Rahul Saxena, B. Saini, V. K. Verma, Vibhav Srivastava\",\"doi\":\"10.1109/ComPE53109.2021.9751857\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Sign language is an effective mode of conversation for persons who have difficulty speaking or hearing. There are numerous media accessible for translation or for identifying sign languages and converting those to text format, However, methods for converting text to sign language have been few and even not web-based software, owing to the scarcity of resources. The proposed web application seeks to develop a translating mechanism or automation that includes a parser element that converts the incoming speech data or English text to a phrase structure grammar representation, which is then used by another module that contains Indi Sign language grammatical format. This is accomplished through the means of removing stop-words from the reordered input format. Because Indian sign language does not provide word inflections, stemming and lemmatization are used to turn words into their root form. Following sentence filtration, all words are tested against the words in the database, which is represented as a dictionary comprising video representations of each word. If the words are missing from the database, the algorithm will then look for its related synonym and replace it with that term.In many ways, the proposed system is more innovative and efficient than existing systems, because Existing methods can only convert words directly into Indi sign language, and they were not as efficient as this system, whereas this in the actual world, the system tries to translate these phrases into Indian sign language grammatical order. Because this is a web-based programmed, it is straightforward to access and use. This technology is platform agnostic and more versatile to use, and it transforms phrases to sign language in real time.\",\"PeriodicalId\":211704,\"journal\":{\"name\":\"2021 International Conference on Computational Performance Evaluation (ComPE)\",\"volume\":\"2659 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on Computational Performance Evaluation (ComPE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ComPE53109.2021.9751857\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Computational Performance Evaluation (ComPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ComPE53109.2021.9751857","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

摘要

手语对于说话或听力有困难的人来说是一种有效的交谈方式。有许多媒体可用于翻译或识别手语并将其转换为文本格式,然而,由于资源稀缺,将文本转换为手语的方法很少,甚至没有基于网络的软件。建议的web应用程序寻求开发一种翻译机制或自动化,其中包括一个解析器元素,该解析器元素将传入的语音数据或英语文本转换为短语结构语法表示,然后由包含印度手语语法格式的另一个模块使用。这是通过从重新排序的输入格式中删除停止词来实现的。因为印度手语没有词形变化,词干化和词形化是用来把单词变成词根形式的。在句子过滤之后,所有单词都将根据数据库中的单词进行测试,该数据库表示为包含每个单词的视频表示的字典。如果数据库中缺少单词,算法将查找相关的同义词并用该术语替换它。在许多方面,我们提出的系统比现有的系统更具创新性和效率,因为现有的方法只能将单词直接转换成印度手语,它们没有这个系统那么高效,而在现实世界中,这个系统试图将这些短语翻译成印度手语的语法顺序。因为这是一个基于网络的程序,它是直接访问和使用。这项技术是平台无关的,使用起来更通用,它可以实时将短语转换为手语。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Audio to Sign Language Translator Web Application
Sign language is an effective mode of conversation for persons who have difficulty speaking or hearing. There are numerous media accessible for translation or for identifying sign languages and converting those to text format, However, methods for converting text to sign language have been few and even not web-based software, owing to the scarcity of resources. The proposed web application seeks to develop a translating mechanism or automation that includes a parser element that converts the incoming speech data or English text to a phrase structure grammar representation, which is then used by another module that contains Indi Sign language grammatical format. This is accomplished through the means of removing stop-words from the reordered input format. Because Indian sign language does not provide word inflections, stemming and lemmatization are used to turn words into their root form. Following sentence filtration, all words are tested against the words in the database, which is represented as a dictionary comprising video representations of each word. If the words are missing from the database, the algorithm will then look for its related synonym and replace it with that term.In many ways, the proposed system is more innovative and efficient than existing systems, because Existing methods can only convert words directly into Indi sign language, and they were not as efficient as this system, whereas this in the actual world, the system tries to translate these phrases into Indian sign language grammatical order. Because this is a web-based programmed, it is straightforward to access and use. This technology is platform agnostic and more versatile to use, and it transforms phrases to sign language in real time.
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
期刊最新文献
iSIMP with Integrity Validation using MD5 Hash A Fault Detection Scheme for IoT-enabled WSNs YOLOv3 based Real Time Social Distance Violation Detection in Public Places Finite Element Analysis of Femur Bone under Different Loading Conditions An Efficient and Anonymous Authentication Key Agreement Protocol for Smart Transportation System
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1