隐马尔可夫模型

对隐马尔可夫模型训练过程中参数B的优化方法进行改进。

Improve on optimized method of parameter B in the process of HMM training .

分别用TS及ITS训练隐马尔可夫模型进行动态手势识别。

TS and ITS are applied to training HMM for dynamic gesture recognition .

基于隐马尔可夫模型的Web信息抽取

Web Information Extraction Based on Hidden Markov Model

隐马尔可夫模型（HiddenMarkovmodel）是一种双随机过程，被广泛地应用于信号处理和模式识别中。

Hidden Markov Model has been widely used as a valuable stochastic model .

基于小波域隐马尔可夫模型的人脑MRI体数据分类

Classification of Brain MRI Volume Data Based on Wavelet-Domain Hidden Markov Model

基于隐马尔可夫模型的P2P流量控制管理系统

A P2P Traffic Control and Management System Based on Hidden Markov Model

研究了一种基于DCT变换和嵌入式隐马尔可夫模型（EmbeddedHiddenMarkovModel）的人脸识别方法。

A method based on Embedded Hidden Markov Model ( EHMM ) and DCT feature is presented .

重点是基于语料库的方法和算法，例如隐马尔可夫模型（HiddenMarkovModel）和概率上下文无关文法。

The emphasis will be on corpus-based methods and algorithms , such as Hidden Markov Models and probabilistic context free grammars .

隐马尔可夫模型参数通过期望最大化算法（EM）来估计。

The HMM parameters were estimated by the EM algorithm .

因此，本文提出了一种全新的自适应隐马尔可夫模型，可表示为θ（N，A，B，π）。

Therefore , this paper proposes a novel self-adaptive HMM , which can be denoted by θ( N , A , B ,π) .

OFDM系统的受限隐马尔可夫模型

Constrained hidden markov model for OFDM systems

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。

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

本文采用信道的隐马尔可夫模型（HMM）和最优控制策略，设计了一种实时Internet视频传输的速率控制算法。

In this paper , we present a rate control algorithm for real - time video over the Internet .

隐马尔可夫模型模型（HMM）基本理论；

The Basis Theoretical of Hidden Markov Model ( HMM ) ;

惩罚概率对经典隐马尔可夫模型（HMM）齐次假设的补偿

Compensation for the homogeneous assumption of classical HMM by probability penalty

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

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

模型的性能评估结果显示隐马尔可夫模型在预测敏感度和准确度方面明显优于所有基于BLAST的方法。

The evaluations of models or methods show that HMM is always better than BLAST-based methods obviously on sensitivity and accuracy .

以监督的方式，利用最大后验（MAP）自适应方法估计异常行为的隐马尔可夫模型参数；

Maximum a posteriori ( MAP ) adaptation technique is used to estimate the HMMs ' parameters of abnormal behaviors from those of normal behaviors ;

连续型隐马尔可夫模型（HMM）参数与语音识别

On the parameters of hidden Markov models ( hmm ) and speech recognition

基于隐马尔可夫模型（HMM）的词性标注的应用研究

Application Study of Hidden Markov Model Based Part-of-speech Tagging

基于隐马尔可夫模型（HMM）实时异常检测

Real-time anomaly detection based on the Hidden Markov Model

隐马尔可夫模型（HiddenMarkovmodel）用于多序列比对研究是生物信息学研究的新领域，其可以通过训练识别同一特征的蛋白质序列。

Hidden Markov model used in multiple alignment is a new field of bioinformatics . It can be used to distinguish protein sequence with the same characterstics .

隐马尔可夫模型（HMM）参数迭代算法的改进

A Modified Iterative Algorithm for HMM 's Parameters

探讨了HMM（隐马尔可夫模型）在说话人识别领域中的应用，并对说话人确认系统中的关键问题&确认阈值的确定，提出了一种新的解决方法。

Speaker verification using HMM ( hidden Markov model ) is investigated in this paper .

由于击键过程的时间序列特性和隐马尔可夫模型（HMM）在处理序列化动态信号中的优越性能，该文提出了根据用户击键特征采用HMM对用户身份进行认证的新方法。

This paper proposes a new approach based on hidden Markov models ( HMM ) .

而且运用了隐马尔可夫模型（HMM）进行高速公路车辆碰撞事件的预测。

Furthermore , the algorithm based Hide Markov Model is applied to detect vehicles collision .

隐马尔可夫模型（HiddenMarkovmodel，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。

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

对实际WEB站点信息抽取的实验表明，新算法能有效地维持包装器的平衡。（3）提出了一种基于聚簇隐马尔可夫模型的文本信息抽取算法。

Experiments over several real Web sites show that the novel algorithm can effectively maintain wrappers . ( 3 ) An algorithm of text information extraction based on clustering HMM has been proposed .

通过分析语音特征参数的特点和说话人识别的基本方法，利用DSP的硬件平台，以线性预测倒谱系数为特征参数提取算法以及隐马尔可夫模型为建模算法，实现电子语音锁的系统设计。

The features of voice-character parameters and fundamental speaker recognition methods are analyzed by using linear prediction cepstrum coefficient and hidden Markov model as modeling algorithms .

论文在结合理论和实践的基础上，对基于隐马尔可夫模型（HiddenMarkovmodel，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。

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