Personal Credit Evaluation System through Telephone Voice Analysis: By Support Vector Machine
DC Field | Value | Language |
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dc.contributor.author | 박형우 | - |
dc.date.available | 2019-03-13T01:13:31Z | - |
dc.date.created | 2019-01-09 | - |
dc.date.issued | 2018-12 | - |
dc.identifier.issn | 1598-0170 | - |
dc.identifier.uri | http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/30899 | - |
dc.description.abstract | The human voice is one of the easiest methods for the information transmission between human beings. The characteristics of voice can vary from person to person and include the speed of speech, the form and function of the vocal organ, the pitch tone, speech habits, and gender. The human voice is a key element of human communication. In the days of the Fourth Industrial Revolution, voices are also a major means of communication between humans and humans, between humans and machines, machines and machines. And for that reason, people are trying to communicate their intentions to others clearly. And in the process, it contains various additional information along with the linguistic information. The Information such as emotional status, health status, part of trust, presence of a lie, change due to drinking, etc. These linguistic and non-linguistic information can be used as a device for evaluating the individual's credit worthiness by appearing in various parameters through voice analysis. Especially, it can be obtained by analyzing the relationship between the characteristics of the fundamental frequency(basic tonality) of the vocal cords, and the characteristics of the resonance frequency of the vocal track.In the previous research, the necessity of various methods of credit evaluation and the characteristic change of the voice according to the change of credit status were studied. In this study, we propose a personal credit discriminator by machine learning through parameters extracted through voice. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | 한국인터넷정보학회 | - |
dc.relation.isPartOf | 인터넷정보학회논문지 | - |
dc.subject | 음성분석 | - |
dc.subject | 목소리 신용척도 | - |
dc.subject | 음성특성 | - |
dc.subject | 기계학습 | - |
dc.subject | 서포트 벡터 머신 | - |
dc.subject | Voice analysis | - |
dc.subject | Voice credit rating | - |
dc.subject | Voice characteristics | - |
dc.subject | Machine learning | - |
dc.subject | Support vector machine | - |
dc.title | Personal Credit Evaluation System through Telephone Voice Analysis: By Support Vector Machine | - |
dc.type | Article | - |
dc.identifier.doi | 10.7472/jksii.2018.19.6.63 | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | 인터넷정보학회논문지, v.19, no.6, pp.63 - 72 | - |
dc.identifier.kciid | ART002425551 | - |
dc.description.journalClass | 2 | - |
dc.citation.endPage | 72 | - |
dc.citation.number | 6 | - |
dc.citation.startPage | 63 | - |
dc.citation.title | 인터넷정보학회논문지 | - |
dc.citation.volume | 19 | - |
dc.contributor.affiliatedAuthor | 박형우 | - |
dc.identifier.url | https://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART002425551 | - |
dc.description.isOpenAccess | N | - |
dc.subject.keywordAuthor | 음성분석 | - |
dc.subject.keywordAuthor | 목소리 신용척도 | - |
dc.subject.keywordAuthor | 음성특성 | - |
dc.subject.keywordAuthor | 기계학습 | - |
dc.subject.keywordAuthor | 서포트 벡터 머신 | - |
dc.subject.keywordAuthor | Voice analysis | - |
dc.subject.keywordAuthor | Voice credit rating | - |
dc.subject.keywordAuthor | Voice characteristics | - |
dc.subject.keywordAuthor | Machine learning | - |
dc.subject.keywordAuthor | Support vector machine | - |
dc.subject.keywordPlus | 음성분석 | - |
dc.subject.keywordPlus | 목소리 신용척도 | - |
dc.subject.keywordPlus | 음성특성 | - |
dc.subject.keywordPlus | 기계학습 | - |
dc.subject.keywordPlus | 서포트 벡터 머신 | - |
dc.subject.keywordPlus | Voice analysis | - |
dc.subject.keywordPlus | Voice credit rating | - |
dc.subject.keywordPlus | Voice characteristics | - |
dc.subject.keywordPlus | Machine learning | - |
dc.subject.keywordPlus | Support vector machine | - |
dc.description.journalRegisteredClass | kci | - |
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