隐含马尔可夫模型 meaning in Chinese
hmm hidden markov model
Examples
- After discussing the properties of the parameters generated in the signal analysis procedure , the mfcc parameter is finally chosen as the features of the voice . through introduce the hmm model and the ann model ， the paper put forward a new model - hmmnn ， and accomplished the theoretical analyses
在训练与识别部分，通过介绍隐含马尔可夫模型和神经网络模型，采用将cdhmm和自组织神经网络结合而形成的新模型hmmnn ，并进行了理论分析。 - Based on the theory and procedure of the automatic speech recognition ( asr ) ， and combined the theory and characteristics of the artificial neural networks ( ann ) ， the research in this paper is oriented on the theory and application of the mixed model ? hmmnn ， which is formed by the combination of the hidden markov model ( hmm ) and the self - organized neural networks （ sonn ） ， and the related algorithms and model are developed
本文基于自动语音识别（ asr ）的原理和过程，结合人工神经网络( ann )的建模理论及特点，主要研究了隐含马尔可夫模型（ hmm ）与自组织神经网络( sonn )相结合的混合模型hmmnn的原理及在语音识别中的应用，分析构造了相应的语音识别模型与算法。 - This thesis tries to update the cmdsr system to achieve the characters below : real - time , better robust , higher recognition rate , non - special - man . considering the disadvantages of traditional improved spectrum subtraction speech enhancement , this thesis proposes the theory of fuzzy spectrum subtraction based on the fuzzy theory and improved spectrum subtraction speech enhancement ; as for the difficulties of detecting the endpoint of speech signal , the thesis gives the table of initial and the improved parameters , with which we can confirm the endpoints of mandarin digit speech ; the thesis puts forward two - level digit real - time speech recognition system , the first level is based on discrete hidden markov model which is linear predictive coding cepstrum ( lpcc ) and difference linear predictive coding cepstrum ( dlpcc ) , the second level is based on formant parameters ; as for the realization of hardware , the thesis depicts the realization of every part of cmdsr based on the tms320vc5402 in detail ; as for the development of software , the thesis gives the software design flow chart of cmdsr , simulates the basic theory with matlab language and gives the simulation results
针对传统的“改进谱相减法语音增强”参数设定单一、环境适应能力差的缺点,提出了一种利用模糊理论和“改进的谱相减法”结合的“模糊谱相减法语音增强” ;针对语音信号端点检测困难的特点,通过matlab仿真试验,给出了能够准确确定数码语音端点的初始和改进参数表;提出了利用基于线性预测编码倒谱参数和差分线性预测编码倒谱参数相结合的离散隐含马尔可夫模型进行第一级识别、利用共振峰参数进行第二级识别的两级汉语数码语音识别系统,在保证系统实时性的同时,实现连接汉语数码语音识别系统识别率的提高;在硬件实现上,详细阐述了基于tms320vc5402的连接汉语数码语音识别系统各部分硬件设计;在软件开发上,给出了连接汉语数码语音识别的软件设计各部分的流程图,并对各部分进行了matlab仿真,并给出了仿真结果。 - Influence diagrams are a useful tool that it is used to deal with decision problem . actions of three or more agents are modeled by combining agent technology with bayesian theory . an approach of decomposition and incorporation is developed to resolve the problem which is intractable for exact calculations about multi - agent system based on dynamic bayesian networks
本文在动态贝叶斯网络的基础上引入了用于处理决策问题的影响图模型，另外还在动态贝叶斯网络和agent技术介绍的基础上，给出一种基于分解和合并的耦合隐含马尔可夫模型，解决了三个以上的agent组成的多agent系统在计算上不可处理的难题。