Moreover a mandarin tone recognition system was developed in chapter three when we presented the HMM model.
另外，第三章在介绍HMM模型时，实现了一个汉语四声声调的识别系统。
This paper also introduces HMM model and speech digital signal processing associated with speech recognition .
理论上详细介绍了HMM模型及与语音识别相关的语音数字信号处理。
And then, the fault prognosis technology of the solder joints is researched based on the HMM model, real-time damage inf…
最后以塑料四方扁平封装器件焊点为研究对象，对提出的焊点故障预测技术的有效性进行了试验验证和分析。
This paper verified the effectiveness of the fault diagnosis method based on 2d-hmm for centrifugal pump, by applying several signal feature extraction methods combining 2d-hmm model.
在应用本文所采用的几种信号特征提取方法的基础上，结合2d -HMM模型，验证了基于2d - H MM的离心泵故障诊断方法的有效性。
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。
CDCPM describes the feature space of model by center distance normal distribution (CDN), and simplifies and improves the HMM efficiently by getting rid of the state transition probability matrix a.
CDCPM用中心距离正态(CDN)分布描述模型特征空间，去掉了H MM的状态转移概率矩阵a，对HMM进行了简化和改进。
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。
In this paper, we propose an artificial emotion model based on HMM.
提出一种基于HMM的人工情感模型。
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。
The whole process was divided into two steps. First to use the hidden Markov model for part-of-speech tagging, and then made use of match rules to amend and convert the result of the HMM step.
整个识别过程主要分成两个步骤，首先使用隐马尔可夫模型进行词性标注，然后利用具有优先级别的匹配规则对第一步的结果进行修正和转换。
HMM is a typical generative model. ME and CRF both belong to conditional model.
HMM是产生式模型的典型代表，ME和CRF属于条件概率模型。
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。
This paper takes advantage of HMM's statistic characters. With a little modification on HMM structure, it gets a mapping model from speech to image.
利用HMM的统计特性，对HMM模型结构进行改动，使其成为人脸语音动画合成中语音特征到图像特征的映射模型。
Concerning the difficulties in part-of-speech tagging in English present participle, the authors analyzed the drawbacks of Hidden Markov Models (HMM) and proposed Bayesian decision tree model.
针对英文现在分词词性标注这一特定问题存在的难点分析了隐马尔可夫模型(HMM)的不足，提出了贝叶斯决策树模型。
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。
And an HMM is used to model the phrase-length constraints, which include the distributions of the prosodic phrase lengths and the prosodic word number in the prosodic phrase.
韵律短语的长度约束模型是利用隐马尔科夫模型对语句中韵律短语的长度规划进行建模，这个模型对短语的长度分布及韵律词与韵律短语的关系进行了描述。
Since the widely used Hidden Markov model (HMM) in speech recognition is first order Markov model, it can not fully model the temporal dependence of speech signal.
由于在语音识别中被广泛应用的隐马尔可夫模型(HMM)是一重马尔可夫模型，它不能充分地描述语音信号的时间相依性。
In user-customized speaker verification system, we focused on building whole utterance model for every speaker and DTW, HMM and GMM modeling methods were adopted.
在用户定制密码的说话人认证系统中重点研究了为语音密码建立整句模型的方法，使用了DTW，HMM和GMM模型实现了对用户的建模和识别。
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。
Decreases decoder and demodulator selection error using a Hidden-Markov Model (HMM) in this paper.
本论文采用隐马尔可夫模型(HMM)来减小解码与解调选择错误。
In this model, the authors defined the short sequence of system calls as a character pattern if this sequence satisfied the certain support degree, and propose an improved HMM (IHMM) on this basis.
文章针对满足支持度要求的系统调用短序列，给出了特征模式的概念，并以此为基础提出了基于改进的隐马尔科夫方法(IHMM)。
HMM has a strong ability of sequential model building, and it is a kind of dynamic information processing method based on sequential accumulative probability.
H MM具有较强的时序建模能力，是一种基于时序累积概率的动态信息处理方法。
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。
The combustion process of the oxyacetylene flame is a random one, it obtains good result using the Hidden Markov Model (HMM) which has good imitation ability on the random process.
氧乙炔火焰的燃烧过程是一个随机过程，用对随机过程有很好模拟能力的隐马尔可夫模型(HMM)对其进行建模与识别，可以达到更好的效果。
This is known as Software Defined Radio (SDR). Decreases decoder and demodulator selection error using a Hidden-Markov Model (HMM) in this paper.
本论文采用隐马尔可夫模型（HMM）来减小解码与解调选择错误。
This is known as Software Defined Radio (SDR). Decreases decoder and demodulator selection error using a Hidden-Markov Model (HMM) in this paper.
本论文采用隐马尔可夫模型（HMM）来减小解码与解调选择错误。
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