Browsing by Author "Wang, HM"

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A model-selection-based self-splitting Gaussian mixture learning with application to speaker identification
(2004-12-15)
Cheng, SS
;
Wang, HM
;
Fu, HC
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資訊工程學系
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Department of Computer Science
We propose a self-splitting Gaussian mixture learning (SGML) algorithm for Gaussian mixture modelling. The SGML algorithm is deterministic and is able to find an appropriate number of components of the Gaussian mixture model (GMM) based on a self-splitting validity measure, Bayesian information criterion (BIC). It starts with a single component in the feature space and splits adaptively during the learning process until the most appropriate number of components is found. The SGML algorithm also performs well in learning the GMM with a given component number. In our experiments on clustering of a synthetic data set and the text-independent speaker identification task, we have observed the ability of the SGML for model-based clustering and automatically determining the model complexity of the speaker GMMs for speaker identification.
Factorization of multi-valued logic functions
(1995)
Wang, HM
;
Lee, CL
;
Chen, JE
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電子工程學系及電子研究所
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Department of Electronics Engineering and Institute of Electronics
On designing of 4-valued memory with double-gate TFT
(1995)
Lee, CL
;
Chern, HN
;
Liao, MS
;
Wang, HM
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電子工程學系及電子研究所