基于Arduino的消声弹射语音算法的防口吃装置设计

E. L. Dhivya Priya, S. Karthik, A. Sharmila, K. R. G. Anand
{"title":"基于Arduino的消声弹射语音算法的防口吃装置设计","authors":"E. L. Dhivya Priya, S. Karthik, A. Sharmila, K. R. G. Anand","doi":"10.1109/ICIRCA51532.2021.9545066","DOIUrl":null,"url":null,"abstract":"Stuttering is disorder of speech which is characterized by the reiteration of sounds, syllables or disputes. This disorder affects the normal flow of speech accompanied by struggle behaviors. Stuttering disorder affects the mental ability of the people as it creates difficulty to communicate with other people and to maintain their interpersonal relationships. The negative influence during job interviews questions their talent and skill sets. More than 70 million people stutter which covers 1% of world's population. Though stuttering is found common during childhood, some has a prolonged stuttering for many years. Public speaking is still a big question to the people to stutter. The idea of the proposed paper is to design an Arduino based anti-Stuttering device with the help of Silence ejection speech algorithm. To remove the long gaps and to make an input shuttered signal as an un-shuttered signal, three software platforms are interconnected. AUDACITY, MATLAB and PYTHON are correlated to each other to retain the perfect flow of the proposed algorithm. AUDACITY is an open source digital audio editor and recording platform which helps to store the input shuttered signal. The stored shuttered signal is feed to MATLAB to perform magnitude filtering. The magnitude filtered output is then silence ejected. The magnitude filtration process is concerned with three set of values. The compared best value is then fed for silence ejection. The silence ejected output is converted from speech to text. This conversion helps to remove the repeated words in the silence ejected signal with reduced time. The final repetition removed text is fed to the Arduino board to convert the text to speech. The converted un-shuttered signal is given as input to the speaker from Arduino. This process of converting the shuttered speech signal to un-shuttered signal will help people who suffer from shuttering and stammering to have a balance psychological effects.","PeriodicalId":245244,"journal":{"name":"2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Design of Anti-Stuttering Device with Silence Ejection Speech algorithm using Arduino\",\"authors\":\"E. L. Dhivya Priya, S. Karthik, A. Sharmila, K. R. G. Anand\",\"doi\":\"10.1109/ICIRCA51532.2021.9545066\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Stuttering is disorder of speech which is characterized by the reiteration of sounds, syllables or disputes. This disorder affects the normal flow of speech accompanied by struggle behaviors. Stuttering disorder affects the mental ability of the people as it creates difficulty to communicate with other people and to maintain their interpersonal relationships. The negative influence during job interviews questions their talent and skill sets. More than 70 million people stutter which covers 1% of world's population. Though stuttering is found common during childhood, some has a prolonged stuttering for many years. Public speaking is still a big question to the people to stutter. The idea of the proposed paper is to design an Arduino based anti-Stuttering device with the help of Silence ejection speech algorithm. To remove the long gaps and to make an input shuttered signal as an un-shuttered signal, three software platforms are interconnected. AUDACITY, MATLAB and PYTHON are correlated to each other to retain the perfect flow of the proposed algorithm. AUDACITY is an open source digital audio editor and recording platform which helps to store the input shuttered signal. The stored shuttered signal is feed to MATLAB to perform magnitude filtering. The magnitude filtered output is then silence ejected. The magnitude filtration process is concerned with three set of values. The compared best value is then fed for silence ejection. The silence ejected output is converted from speech to text. This conversion helps to remove the repeated words in the silence ejected signal with reduced time. The final repetition removed text is fed to the Arduino board to convert the text to speech. The converted un-shuttered signal is given as input to the speaker from Arduino. This process of converting the shuttered speech signal to un-shuttered signal will help people who suffer from shuttering and stammering to have a balance psychological effects.\",\"PeriodicalId\":245244,\"journal\":{\"name\":\"2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA)\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIRCA51532.2021.9545066\",\"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 Third International Conference on Inventive Research in Computing Applications (ICIRCA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIRCA51532.2021.9545066","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

口吃是一种语言障碍,其特征是重复声音、音节或争论。这种障碍会影响正常的语言表达,并伴有挣扎行为。口吃障碍会影响人们的心理能力,因为它会给与他人沟通和维持人际关系带来困难。面试中的负面影响会质疑他们的才能和技能。超过7000万人口吃,占世界人口的1%。虽然口吃在儿童时期很常见,但有些人的口吃会持续多年。公众演讲对口吃的人来说仍然是一个大问题。本文的思路是利用Silence ejection speech算法,设计一个基于Arduino的反口吃设备。为了消除长间隙并使输入的闭波信号变为非闭波信号,三个软件平台相互连接。AUDACITY、MATLAB和PYTHON相互关联,以保持所提出算法的完美流程。AUDACITY是一个开源的数字音频编辑器和录音平台,它有助于存储输入的关闭信号。将存储的滤波信号送入MATLAB进行幅度滤波。经过幅度滤波后的输出将弹出静默。震级过滤过程涉及三组值。比较的最佳值,然后馈送沉默弹射。弹出的沉默输出从语音转换为文本。这种转换有助于在减少时间的情况下去除沉默信号中重复的单词。最后重复删除的文本被馈送到Arduino板,将文本转换为语音。转换后的未关闭信号从Arduino输入到扬声器。这一过程将被屏蔽的语音信号转换为未被屏蔽的语音信号,将有助于口吃患者获得平衡的心理效果。
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
Design of Anti-Stuttering Device with Silence Ejection Speech algorithm using Arduino
Stuttering is disorder of speech which is characterized by the reiteration of sounds, syllables or disputes. This disorder affects the normal flow of speech accompanied by struggle behaviors. Stuttering disorder affects the mental ability of the people as it creates difficulty to communicate with other people and to maintain their interpersonal relationships. The negative influence during job interviews questions their talent and skill sets. More than 70 million people stutter which covers 1% of world's population. Though stuttering is found common during childhood, some has a prolonged stuttering for many years. Public speaking is still a big question to the people to stutter. The idea of the proposed paper is to design an Arduino based anti-Stuttering device with the help of Silence ejection speech algorithm. To remove the long gaps and to make an input shuttered signal as an un-shuttered signal, three software platforms are interconnected. AUDACITY, MATLAB and PYTHON are correlated to each other to retain the perfect flow of the proposed algorithm. AUDACITY is an open source digital audio editor and recording platform which helps to store the input shuttered signal. The stored shuttered signal is feed to MATLAB to perform magnitude filtering. The magnitude filtered output is then silence ejected. The magnitude filtration process is concerned with three set of values. The compared best value is then fed for silence ejection. The silence ejected output is converted from speech to text. This conversion helps to remove the repeated words in the silence ejected signal with reduced time. The final repetition removed text is fed to the Arduino board to convert the text to speech. The converted un-shuttered signal is given as input to the speaker from Arduino. This process of converting the shuttered speech signal to un-shuttered signal will help people who suffer from shuttering and stammering to have a balance psychological effects.
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
Morse Code Detector and Decoder using Eye Blinks Detection of Social and Newsworthy events using Tweet Analysis An Efficient Workflow Management Model for Fog Computing Application Analysis of Image Enhancement Method in Deep Learning Image Recognition Scene Virtual Learning Assistance for Students
×
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