{"title":"自动语音校正:残障人士语音识别的一步","authors":"Naim Terbeh, M. Labidi, M. Zrigui","doi":"10.1109/ICTA.2013.6815303","DOIUrl":null,"url":null,"abstract":"This work consists on achieve an automatic correction system for Arabic continuous speech. This system will be combined by an ASR system for disabled people. For this work, we built a lexicon of 4.000.000 Arabic words through which decides if a word is correct or not. A corpus of Arabic texts is also required to provide a standard summarizing the appearance rate of each two-letter (two-phoneme) in the Arabic language. The results of our system were encouraging and present an advantage to other work for people with articulatory disabilities.","PeriodicalId":188977,"journal":{"name":"Fourth International Conference on Information and Communication Technology and Accessibility (ICTA)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"Automatic speech correction: A step to speech recognition for people with disabilities\",\"authors\":\"Naim Terbeh, M. Labidi, M. Zrigui\",\"doi\":\"10.1109/ICTA.2013.6815303\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work consists on achieve an automatic correction system for Arabic continuous speech. This system will be combined by an ASR system for disabled people. For this work, we built a lexicon of 4.000.000 Arabic words through which decides if a word is correct or not. A corpus of Arabic texts is also required to provide a standard summarizing the appearance rate of each two-letter (two-phoneme) in the Arabic language. The results of our system were encouraging and present an advantage to other work for people with articulatory disabilities.\",\"PeriodicalId\":188977,\"journal\":{\"name\":\"Fourth International Conference on Information and Communication Technology and Accessibility (ICTA)\",\"volume\":\"86 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Fourth International Conference on Information and Communication Technology and Accessibility (ICTA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICTA.2013.6815303\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fourth International Conference on Information and Communication Technology and Accessibility (ICTA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICTA.2013.6815303","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automatic speech correction: A step to speech recognition for people with disabilities
This work consists on achieve an automatic correction system for Arabic continuous speech. This system will be combined by an ASR system for disabled people. For this work, we built a lexicon of 4.000.000 Arabic words through which decides if a word is correct or not. A corpus of Arabic texts is also required to provide a standard summarizing the appearance rate of each two-letter (two-phoneme) in the Arabic language. The results of our system were encouraging and present an advantage to other work for people with articulatory disabilities.