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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
Experimental results show that using SVM-GMM model can improve the open-set speaker recognition rate effectively.
实验结果表明，使用SVM - GMM模型能有效地提高开集说话人识别的识别率。
Experimental results for recognizing 37 languages and dialects verify the validity of the sub-band GMM-UBM method.
本文通过对37种语言及方言的识别实验，证明了子带gmm - U BM方法的有效性。
Personal Data held by GMM will be kept confidential. We do not provide or sell any of this information to third parties.
高力会把客户个人资料绝对保密，我们并不向第三者提供或售卖任何该等资料。
This paper presented some conclusive results for Chinese speaker identification using GMM based on experimental analysis.
本文使用GMM方法，通过实验分析得出了基于GMM的汉语说话人识别的一些概括性结论。
But when the mixture of GMM is too much, identifying probability is not further exalting and identifying time increases much.
但GMM混合数选取太高时，识别率没有进一步的提高，识别时间却增加很多。
Nonlinearity is also the instinct characteristic of GMM, which will cause overshot and long settling time in normal PID control.
但是，由于GMM存在非线性、磁滞回等特性，普通的PID控制会出现超调量大、调节时间长等问题。
The clustering analysis on both the balanced and unbalanced traffics shows that GMM is effective on different kinds of traffics.
通过平衡和不平衡流量的聚类分析，研究了不同类型流量GMM建模的有效性。
GMM reserves the right to change our policy regarding the collection of information from visitors at any time without advance notice.
在无须给予事先通知的情况下，高力对收集浏览者资料一事上，保留随时改变有关政策之权利。
Gaussian mixture model (GMM) has been widely used for text-independent speaker recognition. This method has simple and efficient character.
高斯混合模型(GMM)已广泛地应用于文本无关的说话人识别系统，该方法具有简单高效的特点。
With the analysis of the testing result of sample, the design means of RE-GMM actuator was induced, which validates the theory analysis result.
通过对样机测试结果的分析，归纳了RE -GMM致动器的一般设计方法，并验证了部分理论分析结果。
The results show that active control with GMM actuators is feasible and the control effect of structural displacement can reach as much as 50%.
结果表明，应用gmm作动器进行结构抗震主动控制是可行的，一般情况下结构位移的控制效果可达50%左右。
By describing the general and special procession of GMM, this paper introduces the function and the implementation of GMM entity of TD -scdma terminal.
通过对GMM一般过程和特殊过程的描述，介绍了TD -SCDMA系统终端G MM实体的功能及其实现过程。
The result of the experiment indicates that this method can improve the recognition rate of the text-independent speaker recognition system based on GMM.
实验结果表明，该方法能改善基于GMM的与文本无关说话人识别系统的识别率。
Therefore, the work temperature has great importance to the GMM. So the work temperature provided to the GMM must be constant and can be adjusted precisely.
所以，工作温度对超磁致伸缩材料十分重要，必须给超磁致伸缩材料提供恒定而且能够精确调整的工作温度。
In GMM-based the factors that influence language identification system, the environment and individual characteristics are always the identification accuracy.
在基于GMM的语种识别系统中，实际环境和个人因素一直是影响识别率提高的因素。
In GMM-based language identification system, the environment and individual characteristics are always the factors that influence the identification accuracy.
在基于GMM的语种识别系统中，实际环境和个人因素一直是影响识别率提高的因素。
And then it puts forward study on the high speed switch valve, using GMM as valve's core, adopting DSP as controller and designing bus communication interface.
在此基础上提出了以超磁致伸缩材料为阀芯，以DSP为控制器，带有总线型接口的高速开关阀的研究课题。
Firstly silence and non-silence are classified based on threshold judging and then VQ-GMM is used to further classify non-silence into speech, music and background.
首先通过阈值判决区分静音和非静音，然后利用VQ-GMM分类器将非静音进而分为语音、音乐和环境背景音。
Firstly silence and non-silence are classified based on threshold judging and then VQ-GMM is used to further classify non-silence into speech, music and background.
首先通过阈值判决区分静音和非静音，然后利用VQ-GMM分类器将非静音进而分为语音、音乐和环境背景音。
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