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In this paper, two weighted distance measures; the weighted K-L divergence and the Bayesian criterion-based distance measure are proposed to efficiently reduce the Gaussian mixture components in the HMM-based acoustic model. Conventional distance measures such as the K-L divergence and the Bhattacharyya distance consider only distribution parameters (i.e. mean and variance vectors of Gaussian pdfs)...
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