Accessible Driver Announcement in Public Transportation: A Solution based on Speech-to-Text and Display

Abhijeet Sapkota, R. Shrestha
{"title":"Accessible Driver Announcement in Public Transportation: A Solution based on Speech-to-Text and Display","authors":"Abhijeet Sapkota, R. Shrestha","doi":"10.1109/iSCI50694.2020.00010","DOIUrl":null,"url":null,"abstract":"Today, the information in public transport, especially when an unforeseen event such as signal failure, platform change, etc. occurs, is largely provided by making an audio announcement. This, in many situations, is hardly understandable due to various factors, and it rarely helps people with hearing impairment. This work attempts towards an accessible driver announcement in public transportation based on a speech-to-text conversion and on-screen displays. Incorrect speech-to-text conversions are checked and corrected using a GloVe (Global Vector) based algorithm so that passengers get correct information. User testing of the system with different people including hard of hearing shows the effectiveness of such a solution. This work has been done, by taking the current system in public transportation in Oslo, Norway as a reference. However, the proposed solution and workflow can be applied to any mode of public transportation and anywhere in the world.","PeriodicalId":433521,"journal":{"name":"2020 IEEE 8th International Conference on Smart City and Informatization (iSCI)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 8th International Conference on Smart City and Informatization (iSCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iSCI50694.2020.00010","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

Today, the information in public transport, especially when an unforeseen event such as signal failure, platform change, etc. occurs, is largely provided by making an audio announcement. This, in many situations, is hardly understandable due to various factors, and it rarely helps people with hearing impairment. This work attempts towards an accessible driver announcement in public transportation based on a speech-to-text conversion and on-screen displays. Incorrect speech-to-text conversions are checked and corrected using a GloVe (Global Vector) based algorithm so that passengers get correct information. User testing of the system with different people including hard of hearing shows the effectiveness of such a solution. This work has been done, by taking the current system in public transportation in Oslo, Norway as a reference. However, the proposed solution and workflow can be applied to any mode of public transportation and anywhere in the world.
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
基于语音转文本和显示的公共交通无障碍驾驶员通知解决方案
如今,公共交通中的信息,特别是当发生信号故障、站台更换等不可预见的事件时,主要是通过音频广播来提供的。在许多情况下,由于各种因素,这是很难理解的,而且它很少帮助有听力障碍的人。这项工作试图在基于语音到文本转换和屏幕显示的公共交通中实现可访问的驾驶员通知。使用基于GloVe(全局向量)的算法检查和纠正错误的语音到文本转换,以便乘客获得正确的信息。用户测试系统不同的人,包括重听显示了这种解决方案的有效性。本文以挪威奥斯陆现有的公共交通系统为参照,完成了这项工作。然而,所提出的解决方案和工作流程可以应用于世界上任何地方的任何公共交通模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Machine Learning-based Update-time Prediction for Battery-friendly Passenger Information Displays E-government Deep Recommendation System Based on User Churn Design of an E-Attendance Checker through Facial Recognition using Histogram of Oriented Gradients with Support Vector Machine [Copyright notice] Intelligent Transportation System: Managing Pandemic Induced Threats to the People and Economy
×
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