1、

At the second phase, several speech recognition algorithms including the DTW and HMM, are thoroughly discussed.

其次, 着重讨论了语音识别中常用的两种识别方法:基于模板匹配的DTW和基于统计模型的HMM在 语音识别中的应用.

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2、

To improve the adaptability and the robustness approximate string match algorithm and DTW algorithm are synthesized.

融合直接匹配和DTW匹配,以加强算法适应性和鲁棒性.

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3、

It also bought all of DTW's assets in the domestic and international express delivery markets.

它也买了所有的大田的资产在国内和国际快递市场.

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4、

DTW strongly depends on point-detection. So it is necessary to detect endpoint well to achieve a higher accuracy.

由于动态时间规整算法对端点检测的结果依赖性很强,因此要想得到较高的统计精度,就必须对信号的端点进行良好的检测。

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5、

The DTW theory and HMM theory are discussed. Their applications in recognition are analyzed through the MATLAB programs.

文中论述了动态时间归整理论和隐马尔可夫模型原理,用MATLAB语言编程研究了它们在语音识别系统中的应用。

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6、

Study on DTW algorithm application in the vehicle classification recognition system

DTW算法在车型识别系统中应用的研究

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7、

The simulation and analysis based on improved DTW algorithm

基于改进的DTW算法的仿真与分析

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8、

Relevance Feedback and Support Vector Machine learning are introduced into the contend-based image retrieval system. We also compare DTW GSVM results to UFM GSVM's which proves that the algorithm of DTW GSVM is effective.

在基于内容的图像检索原型系统中引入了相关反馈和支持向量机,并将DTW+GSVM算法与UFM+GSVM算法比较,验证了该算法的有效性。

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9、

The general DTW algorithm was improved through separate word recognition in the simulation environment built by MATLAB. Both algorithms were compared and the better one was chosen.

通过MATLAB搭建的模拟环境对孤立词语音识别,对一般DTW算法进行改进,并把高效DTW算法与一般DTW算法进行比较,选择改进后的高效DTW算法。

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