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1·We present an implementation of the GPD method in a GMM-based system.

在以GMM为主体的系统中，本论文将具体实现GPD 法则。

2·For the model of GMM, there is a good result for choosing 64 mixtures GMM.

对于GMM模型，采用高斯混合数为64时有较好的识别率。

3·Performances of the GMM driver prototype are measured by the testing system which is created by us.

设计并试制了GMM式高速开关阀驱动器的原型样机，建立了驱动器性能检测的实验系统。

4·However, if it has a large number of Gaussians in GMM, it leads to a large complexity of computation.

但如果GMM模型的高斯混合分量的数目比较多时，整个模型运算的复杂度会比较大。

5·The basic idea of the new model is that the classification results of the SVM are confirmed with GMM.

该模型的基本思想是将SVM的分类结果用GMM模型进行确认。

6·Generalized method of moments (GMM); Mixed regressive-spatial autoregressive (MRSAR); Over-identifying.

广义矩方法（GMM）； 混合回归-空间自回归（MRSAR）； 过度识别。

7·Compared with the conventional GMM method, the training and testing speed of this method is much faster.

与传统的GMM方法相比，该方法的训练和识别的速度更快。

8·In algorithm ways, Gaussian mixture model (GMM) is the most successful speaker recognition model at present.

在算法方面，高斯混合模型(GMM)是目前最成功的一种说话人识别模型。

9·I estimate the parameters of different models by GMM, and obtain a better model under comparison by many indexes.

并用广义矩方法进行参数估计，在多种指标的比较下得到了一个较好模型。

10·GMM is surrounded by the drive coil in the closed area of GMA, so it is difficult to realize temperature control.

超磁致伸缩执行器中超磁致伸缩材料处在驱动线圈围成的封闭型区域内，因而其温控较难实现。