DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Cho, Jung-Wan | - |
dc.contributor.advisor | Maeng, Seung-Ryeul | - |
dc.contributor.advisor | 조정완 | - |
dc.contributor.advisor | 맹승렬 | - |
dc.contributor.author | Jang, Ig-Hyeon | - |
dc.contributor.author | 장익현 | - |
dc.date.accessioned | 2011-12-13T05:50:19Z | - |
dc.date.available | 2011-12-13T05:50:19Z | - |
dc.date.issued | 1986 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=65155&flag=dissertation | - |
dc.identifier.uri | http://hdl.handle.net/10203/33685 | - |
dc.description | 학위논문(석사) - 한국과학기술원 : 전산학과, 1986.2, [ [ii], 45 p. ] | - |
dc.description.abstract | In this thesis, we propose a hybrid clustering algorithm called Modified Mutual Nearest Neighborhood(MMNN) clustering, which is aimed at superior performance to other clustering method for speaker independent isolated word recognition. This algorithm, compared to other clustering methods, Unsupervised Without Averaging (UWA) and Chainmap, shows better performance by generating more reliable reference patterns. A new cluster center determination method was devised. Its performance is superior to minimax. And the cluster center determined by this method is one of the real training pattern which saves many computation time. | eng |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.title | (A) study on the clustering method in speaker independent isolated word recognition | - |
dc.title.alternative | 독립화가 고립단어 인식에 있어서의 Clustering 방법에 관한 연구 | - |
dc.type | Thesis(Master) | - |
dc.identifier.CNRN | 65155/325007 | - |
dc.description.department | 한국과학기술원 : 전산학과, | - |
dc.identifier.uid | 000841286 | - |
dc.contributor.localauthor | Cho, Jung-Wan | - |
dc.contributor.localauthor | Maeng, Seung-Ryeul | - |
dc.contributor.localauthor | 조정완 | - |
dc.contributor.localauthor | 맹승렬 | - |
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