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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
应用推荐