We use hidden Markov Model to simulate Externally-Connected hidden groups.
这样，就建立的社会通信的隐马尔可夫模型。
In speech signal handle, Hidden Markov Model acquires the successful application.
在语音信号处理中，隐马尔可夫模型获得了成功的应用。
Hidden Markov Model is now being applied increasingly in biomedical signal processing.
隐马尔可夫模型正在被愈来愈多地引入到生物医学信号的处理中。
This paper has used the Hidden Markov Model to predict the collision on the expressway.
本文应用了隐马克夫模型进行高速公路上的车辆碰撞预测。
This paper focuses on the research of image recognition based on the hidden Markov model.
本文基于隐马尔可夫模型进行图像识别问题的研究。
A new algorithm based on hidden Markov Model is proposed for text information extraction.
提出了一种基于隐马尔可夫模型的文本信息抽取算法。
This is a writer writing improvement of the people's hidden Markov model algorithm procedures.
这是一个笔者撰写改进了别人的隐马尔可夫模型算法的程序。
A hidden Markov model method (HMM) is used to recognize face in our automated recognition system.
人脸识别方面，本文对在人脸识别中广泛应用的隐马尔可夫模型(HMM)的原理进行了介绍。
A baseline system of keyword spotting based on Continue Hidden Markov Model (CHMM) is constructed.
基于连续隐马尔可夫模型(CHMM)框架的非特定人关键词识别基线系统的构建。
This paper describes a method of Uigur part-of-speech tagging with third-order Hidden Markov Model.
本文提出了将三阶隐马尔可夫模型运用到维吾尔语词性标注中的方法。
Then after word segmentation, we introduced Hidden Markov Model to identify most of musical entities.
然后，在分词之后引入隐马尔科夫模型来识别大部分音乐实体。
In some cases, the substrate of methylation can be inferred from hidden Markov model sequence similarity networks.
在某些情况下，甲基化的酶作用物能够从隐马尔科夫模型序列相似性网络中被推断。
The recognition technique used for the recognition of the coded speech signals is the Hidden Markov Model technique.
编码的识别技术用于识别语音信号是隐马尔科夫模型的技术。
This paper proposes a Layered Hidden Markov Model (LHMM) and entropy method to detect a gathering event in real-time.
提出一种结合分层隐马尔科夫模型(LHMM)与熵值的聚众事件实时检测方法。
A new gear fault detection and diagnosis scheme based on Hidden Markov Model (HMM) of vibration signals is introduced.
介绍了一种基于振动信号隐马尔可夫模型(HMM)的新的齿轮故障检测和诊断方案。
To address the problem above, the speech recognition system has been built on the basis of HTK as well as hidden markov model theory.
针对上述问题，结合隐马尔可夫模型原理，在HTK语音处理工具箱的基础上构建了中英文特定词语音识别系统。
The context-aware activity computing based on hidden Markov model was proposed to predict the activity of mobile user in a smart space.
为了推理移动用户在智能空间的活动，提出了基于隐马尔科夫模型的上下文感知活动计算。
Secondly, the hidden Markov model which is the most popular speech recognition technology has been studied in the way of speaker indendent.
其次，在非特定人语音识别技术方面，文章研究了现行最流行基于隐马尔可夫模型的非特定人语音识别技术。
We contribute to automatic target recognition (ATR) by a hidden Markov model (HMM) based classifier, with parameters of scattering centers.
提出用散射点参数作为识别特征，用隐马尔可夫模型（HMM）作分类器的雷达目标识别方法。
A new two-stage method of fingerprint classification is proposed that is based on hidden Markov model (HMM) and support vector machine (SVM).
提出了一种利用隐马尔可夫模型(HMM)和支持向量机(SVM)的两级指纹分类新方法。
It is applicable to any small vocabulary hybrid speech recognition system that combines hidden Markov model (HMM) with multi-layer perceptron (MLP).
研究适用于隐马尔可夫模型(HMM)结合多层感知器(mlp)的小词汇量混合语音识别系统的一种简化神经网络结构。
This thesis introduced in detail theories method of the Hidden Markov Model, outstanding the importance that Hidden Markov Model used in speech signal.
本论文详细地介绍了隐马尔可夫模型的理论方法，突出了语音信号隐马尔可夫模型分析的重要性。
Gaussian Mixture Distribution is introduced into one kind of inhomogeneous Hidden Markov model-simplified Duration Distribution Based HMM in this paper.
本文将混合高斯分布应用于一种非齐次隐含马尔可夫模型——简化的基于段长分布的隐含马尔可夫模型。
Researchers apply such mathematic model as Hidden Markov model to this field and solve the key problem in the field of comprehension of natural language.
该领域的研究人员通过对隐马尔可夫模型这一数学模型的跨领域应用，解决了自然语言理解中的瓶颈问题。
This paper proposes a new algorithm using hidden Markov model for information extraction based on multiple templates due to the variety of training data.
针对训练数据来源的多样化，提出了基于多模板隐马尔可夫模型的文本信息抽取算法。
This paper addresses the problem of speech recognition under telephone channel conditions using data simulation method and HMM(Hidden Markov Model)adaptation.
该文研究了基于数据模拟方法和HMM（隐马尔科夫模型）自适应的电话信道条件下语音识别问题。
Meanwhile, a novel and convenient training corpus tagging method was proposed, which made Hidden Markov Model practically usable in Musical Entity Recognition.
同时，我们提出了一种新颖、实用的训练语料标注方案，这使得隐马尔科夫模型在音乐实体识别上变得实际可行。
The algorithm makes use of the information of format and list separators to segment text, and then combines hidden Markov model for text information extraction.
该算法利用文本排版格式、分隔符等信息，对文本进行分块，在分块的基础上结合隐马尔可夫模型进行文本信息抽取。
The algorithm makes use of the information of format and list separators to segment text, and then combines hidden Markov model for text information extraction.
该算法利用文本排版格式、分隔符等信息，对文本进行分块，在分块的基础上结合隐马尔可夫模型进行文本信息抽取。
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