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In view of the stronger superiority of deaf-mute in visual identification ability and visual memory ability for color, a new speech visualization method for speech signals with very good classification and location ability was proposed. It created readable patterns by integrating different speech features into a single picture. Firstly, series preprocessing of speech signals were done. Secondly, extracting...
This paper proposes a novel method for facial expression recognition based on neural network ensemble. The facial expression features are extracted firstly through multi expression eigenspace analysis, and then several neural networks are trained each with an eigenspace of different expressions respectively. At last their training results are aggregated as inputs of the ensemble classifier, which...
It is often more important to provide the respective person(e.g. physician) with guidelines for a deformation degree assessment of speech signal than to achieve a very accurate automated recognition. By ear it is easy to judge whether the speech is regular or deformed, but any attempt of a deformation degree evaluation is not satisfactory. According to above status, we presented a deformation degree...
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