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A new kernel-based manifold learning algorithm, called kernel discriminant locally linear embedding (KDLLE), is presented for spoken emotion recognition. KDLLE aims to make the interclass dissimilarity definitely larger than the intraclass dissimilarity in a reproducing kernel Hilbert space for the purpose of nonlinearly extracting the low-dimensional discriminant embedded data representations with...
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