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경계 차감 클러스터링에 기반한 클러스터 개수 추정 화자식별Speaker Indentification with Estimating the Number of Cluster Based on Boundary Subtractive Clustering

Other Titles
Speaker Indentification with Estimating the Number of Cluster Based on Boundary Subtractive Clustering
Authors
이윤정최민정서창우한헌수
Issue Date
Jul-2007
Publisher
한국음향학회
Keywords
화자식별; 클러스터링; 차감 클러스터링; K-평균 알고리즘; 상호관계투고분야: 음성 처리 분야 (2.5) In this paper; we propose a new clustering algorithm that perfo rms clustering the feature vectors for the speaker identification. Unlike typical clustering approaches; t without the initial; eans algorithm; Mutual relationshipASK subject classification: Speech Processing (2.5); eans algorithm; Mutual relationshipASK subject classification: Speech Processing (2.5)
Citation
한국음향학회지, v.26, no.5, pp.199 - 206
Journal Title
한국음향학회지
Volume
26
Number
5
Start Page
199
End Page
206
URI
http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/18060
ISSN
1225-4428
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College of Information Technology > ETC > 1. Journal Articles

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