{"title":"Spectral analysis of some typical Sino-Tibetan languages with special reference to North East Indian languages","authors":"P. Talukdar, S. K. Sarma","doi":"10.1109/ICOSP.2002.1181107","DOIUrl":null,"url":null,"abstract":"We have made an attempt to study the spectral characteristics of two North East Indian languages, Assamese and Boro, coming from different genres. We have taken a few words with similar, partially similar, and dissimilar characteristics in their nature of utterance from Assamese and Boro. The spectral analysis revels that both the languages have a high degree of similarity at both voiced and unvoiced regions for words with the same meaning. LPC modeling of the random selection of similar, partially similar and dissimilar phonemes may not provide characteristic features of the two languages, but cepstral coefficient analysis of the LPC modeling may provide important information in studying the linguistic and phonetic distinction of the two languages and, finally, speaker identification and word verification.","PeriodicalId":159807,"journal":{"name":"6th International Conference on Signal Processing, 2002.","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"6th International Conference on Signal Processing, 2002.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOSP.2002.1181107","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
We have made an attempt to study the spectral characteristics of two North East Indian languages, Assamese and Boro, coming from different genres. We have taken a few words with similar, partially similar, and dissimilar characteristics in their nature of utterance from Assamese and Boro. The spectral analysis revels that both the languages have a high degree of similarity at both voiced and unvoiced regions for words with the same meaning. LPC modeling of the random selection of similar, partially similar and dissimilar phonemes may not provide characteristic features of the two languages, but cepstral coefficient analysis of the LPC modeling may provide important information in studying the linguistic and phonetic distinction of the two languages and, finally, speaker identification and word verification.
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