Hidden Markov Model HMM

Application of Hidden Markov Model ( HMM) in Sleep Staging

隐马尔可夫模型在睡眠分期中的应用

In the field of speech recognition, Chinese language conversion is a hot topic. Hidden Markov Model ( HMM) is a commonly used method of language conversion.

在语音识别领域，汉语语文转换是一个热点话题，隐马尔可夫模型（HMM）是语文转换中常用的方法。

The paper introduces the algorithms of dynamic time warping ( DTW) and hidden markov model ( HMM) for isolated word speech recognition.

针对孤立词语音识别，本文研究了动态时间规整（DTW）和隐马尔科夫模型（HMM）算法。

The hidden Markov model ( HMM) is a sort of statistical signal model.

隐马氏模型（the Hidden Markov Model，HMM）是一种统计信号模型。

The hidden Markov model ( HMM) technique is used to identify feature sequences resulting from range profile sequences.

然后用隐Markov模型来描述、识别基于一维像的特征序列。

The method is based on hidden Markov model ( HMM) to profile normal program behaviors using traces of system calls generated during the normal execution of processes.

该方法以程序正常执行过程中产生的系统调用序列为研究对象，建立计算机的正常程序行为模型。

As a statistics model, Hidden Markov Model ( HMM) have been widely used in pattern recognition and stochastic signal processing.

隐马尔科夫模型（Hidden Markov model，简记为HMM）作为一种统计模型，在模式识别与随机信号处理中有着广泛的应用。

A method based on Nonnegative Matrix Factorization ( NMF) and Hidden Markov Model ( HMM) is proposed in this paper for human behavior recognition.

提出了一种基于非负矩阵分解（NMF）和隐马尔可夫模型（HMM）的人体行为识别的方法。

A novel Hidden Markov Model ( HMM) structure for recognizing feature sequence, an adaptive HMM ( AHMM) structure, is presented.

提出了一种新的隐马尔可夫模型&自适应隐马尔可夫模型（AHMM）。

Compared to other speech synthesis methods, based on Hidden Markov Model ( HMM) speech synthesis methods is more convenient.

基于隐马尔科夫模型（HMM）合成法与其他语音合成方法相比具有很多便捷之处。

That is: a Hidden Markov Model ( HMM) classifier is applied for the extraction of candidate names from character sequence;

采用隐马尔可夫模型（HMM）分类器从未经切分的汉字串中候选姓名。

Drill Wear Monitoring by Using Hidden Markov Model ( HMM) Based on Wavelet Packets Energy Spectrum

基于小波包能量谱的HMM钻头磨损监测

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。

This paper proposes a text information extraction model based on improved Hidden Markov Model ( HMM). It gives a new assumption of observation emission.

提出一种基于改进隐马尔可夫模型（HMM）的文本信息抽取模型。

The RGAs were classified into 21 families according to their functional domain based on Hidden Markov model ( HMM).

采用隐马尔柯夫模型（HMM），将这些RGA按其功能域分成了21类。

Hidden Markov model ( HMM) is a statistical pattern recognition method that is extensively used in speech and gesture recognition.

隐马尔可夫模型（HMM，Hidden Markov model）是语音识别和手势识别中广泛使用的统计模式识别方法。

On the basis of combining theory with practice, the speech recognition based on Hidden Markov Model ( HMM) is researched systematically in this paper.

论文在结合理论和实践的基础上，对基于隐马尔可夫模型（Hidden Markov model，HMM）的非特定人、孤立词语音识别方法进行了系统地研究，主要内容如下。

The hidden Markov model ( HMM) which is effective to solve sequence signals, is used as classifier to recognize human activities.

使用处理时序信号有效的隐马尔可夫模型（HMM）方法，作为分类器对人体行为进行识别。

Introduced is a new speech recognition method, which is aimed at recognizing Chinese vowels and based on a non-homogeneous hidden Markov model ( HMM).

针对特定人汉语元音的语音识别，提出一种基于非齐次隐马尔可夫模型的识别方法。

Hidden Markov model ( HMM) is an important statistical method.

隐马尔可夫模型是一种十分重要的统计学方法。

Hidden Markov Model ( HMM) is a statistical model which assumes the observa-tion sequence is generated by a Markov process with hidden states.

隐马尔可夫模型（Hidden Markov model，HMM）是一种概率模型，它假定观测序列是由包含若干隐状态的马尔可夫过程产生的。

To detect such abnormal people trajectories, namely outliers, we presents a solution based on Hidden Markov Model ( HMM).

为了检测这种异常轨迹，我们提出了一种基于隐马尔可夫模型的异常检测方案。

A method based on the Hidden Markov Model ( HMM) is presented that uses the optical flow feature vector as the observation vector.

在序列表情图像识别方面，提出了一种基于隐马尔可夫模型的人脸表情识别方法。

This paper proposes a novel contour tracking algorithm based on Hidden Markov Model ( HMM) and optic flow.

提出了一个新颖的基于隐马尔科夫模型与光流的轮廓线跟踪算法。

Applying dynamic time sequence modeling ability of hidden markov model ( HMM) and classifying ability of neural networks, this paper presents a hybrid speech recognition model.

利用隐马尔可夫模型（HMM）的动态时间序列建模能力及神经网络的模式分类能力，构成混合语音识别模型，同时考虑到语音信号的非平稳性，采用小波分析方法提取语音特征向量。

A new method based on Gabor wavelets transform and hidden Markov model ( HMM) for face recognition is proposed.

探讨了利用Gabor小波和隐马尔可夫模型（HMM）进行人脸识别的方法。

A new synthetic aperture radar ( SAR) image filter method is proposed based on hidden Markov model ( HMM).

在小波域隐Markov模型（HMM）的基础上提出一种新的合成孔径雷达（SAR）图像的滤波方法。

For human motion recognition problem, this paper puts research and forward the human activity recognition method based on Hidden Markov Model ( HMM).

针对运动人体行为识别的问题，研究并提出基于隐马尔科夫模型的人体行为识别方法。

From the view of probability relevance model, it is feasible for Hidden Markov Model ( HMM) to deal with the task of AIA.

本文从概率关联模型角度，分析了隐马尔科夫模型解决自动图像标注任务的可行性。

The Basis Theoretical of Hidden Markov Model ( HMM);

隐马尔可夫模型模型（HMM）基本理论；