A speech emotion recognition method is also presented based on weighted Euclidean distance template matching, in which the weights of features are calculated by the method of contribution analysis.
同时提出采用贡献分析法确定情感特征参数的权值，利用加权欧氏距离模板匹配识别语音情感。
By means of the density function fitting method of weighted sum of normal kernels the optimizing problem of template matching for non-normal distribution image is solved.
并用正态核加权和密度函数拟合法解决了非正态图象模板匹配的优化问题。
So the weighted operator is put forward, in order to enhance the de-noise capability of linear template.
为了增强直线模板去噪能力，引入了加权算子。
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