Yuli Xue

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In this contribution, we introduce a novel approach to combine acoustic information and emotional point information for a robust automatic recognition of a speaker’s emotion. Six discrete emotional states are recognized in the work. Firstly, a multi-level model for emotion recognition by acoustic features is presented. The derived features are selected by(More)
Motion trajectory recognition is important for characterizing the moving property of an object. The speed and accuracy of trajectory recognition rely on a compact and discriminative feature representation, and the situations of varying rotation, scaling, and translation have to be specially considered. In this paper, we propose a novel feature extraction(More)
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