Diagnosing Vocal Disorders using Cobweb Clustering of the Jitter, Shimmer, and Harmonics-to-Noise Ratio
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Keonsoo | - |
dc.contributor.author | Moon, Chanki | - |
dc.contributor.author | Nam, Yunyoung | - |
dc.date.accessioned | 2021-08-11T11:24:05Z | - |
dc.date.available | 2021-08-11T11:24:05Z | - |
dc.date.issued | 2018-11-30 | - |
dc.identifier.issn | 1976-7277 | - |
dc.identifier.issn | 1976-7277 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/5490 | - |
dc.description.abstract | A voice is one of the most significant non-verbal elements for communication. Disorders in vocal organs, or habitual muscular setting for articulatory cause vocal disorders. Therefore, by analyzing the vocal disorders, it is possible to predicate vocal diseases. In this paper, a method of predicting vocal disorders using the jitter, shimmer, and harmonics-to-noise ratio (HNR) extracted from vocal records is proposed. In order to extract jitter, shimmer, and HNR, one-second's voice signals are recorded in 44.1 khz. In an experiment, 151 voice records are collected. The collected data set is clustered using cobweb clustering method. 21 classes with 12 leaves are resulted from the data set. According to the semantics of jitter, shimmer, and HNR, the class whose centroid has lowest jitter and shimmer, and highest HNR becomes the normal vocal group. The risk of vocal disorders can be predicted by measuring the distance and direction between the centroids. | - |
dc.format.extent | 14 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | 한국인터넷정보학회 | - |
dc.title | Diagnosing Vocal Disorders using Cobweb Clustering of the Jitter, Shimmer, and Harmonics-to-Noise Ratio | - |
dc.type | Article | - |
dc.publisher.location | 대한민국 | - |
dc.identifier.doi | 10.3837/tiis.2018.11.020 | - |
dc.identifier.scopusid | 2-s2.0-85058446723 | - |
dc.identifier.wosid | 000451864600020 | - |
dc.identifier.bibliographicCitation | KSII Transactions on Internet and Information Systems, v.12, no.11, pp 5541 - 5554 | - |
dc.citation.title | KSII Transactions on Internet and Information Systems | - |
dc.citation.volume | 12 | - |
dc.citation.number | 11 | - |
dc.citation.startPage | 5541 | - |
dc.citation.endPage | 5554 | - |
dc.type.docType | Article | - |
dc.identifier.kciid | ART002408611 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.description.journalRegisteredClass | kci | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Telecommunications | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Telecommunications | - |
dc.subject.keywordPlus | VOICE QUALITY | - |
dc.subject.keywordPlus | SPEECH | - |
dc.subject.keywordPlus | ALGORITHM | - |
dc.subject.keywordAuthor | Cobweb | - |
dc.subject.keywordAuthor | Clustering | - |
dc.subject.keywordAuthor | HNR | - |
dc.subject.keywordAuthor | Jitter | - |
dc.subject.keywordAuthor | Shimmer | - |
dc.subject.keywordAuthor | Vocal Disorder | - |
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