{"title":"Semantic indexing of continuous speech","authors":"M. Labidi, Naim Terbeh, M. Maraoui, M. Zrigui","doi":"10.1109/ICTA.2015.7426912","DOIUrl":null,"url":null,"abstract":"Speech, as the most important means of communication between human beings, underwent several scientific studies, but until now there remains much to do with this phenomenon. After more than 60 years of research, the representation of speech has not exceeded the representation of the content (standard MPEG7). This paper presents a step towards a standard semantic indexing of continuous speech (indexing by the sense). The index is presented based on the meaning of the elements (Verbs, Names) of the sentences. Also other information that we can extract from speech. The index will be simpler and more meaningful. We tried not to use any external source to represent the meaning, which makes it more difficult and need resources that not in mostly exist. Also it focuses only on the speech, making specific and effective index, and because the speech she is rich enough to have its own standard. This work presents a step towards our goal of a standard semantic indexing continuous speech.","PeriodicalId":375443,"journal":{"name":"2015 5th International Conference on Information & Communication Technology and Accessibility (ICTA)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 5th International Conference on Information & Communication Technology and Accessibility (ICTA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICTA.2015.7426912","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
Speech, as the most important means of communication between human beings, underwent several scientific studies, but until now there remains much to do with this phenomenon. After more than 60 years of research, the representation of speech has not exceeded the representation of the content (standard MPEG7). This paper presents a step towards a standard semantic indexing of continuous speech (indexing by the sense). The index is presented based on the meaning of the elements (Verbs, Names) of the sentences. Also other information that we can extract from speech. The index will be simpler and more meaningful. We tried not to use any external source to represent the meaning, which makes it more difficult and need resources that not in mostly exist. Also it focuses only on the speech, making specific and effective index, and because the speech she is rich enough to have its own standard. This work presents a step towards our goal of a standard semantic indexing continuous speech.