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HMM model- hidden markov model descr iption algorithm
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KPM stats Hidden Markov Model
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基于双重随机性的隐马尔科夫模型(Hide MarKov Model)的C语言实现-Based on double random hidden Markov model (HMM) of the C language
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模式识别中比较重要的隐性马尔科夫模型,希望对大家有所帮助-Pattern recognition of the more important hidden Markov model, we want to help
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matlab implementation for forward-backward algorithm for train and test of hidden markov model (HMM).
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这是一章详解高斯模型的文章,非常适合初学者,理论思路讲解清晰,也是学习隐马尔科夫模型的准备知识。-This is an article Detailed Gaussian model, very suitable for beginners, theoretical ideas to explain clearly, but also to learn a ready knowledge of the hidden Markov model.
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隐马尔科夫模型源代码,隐马尔科夫模型的训练,输入序列得到隐马尔科夫模型。-Hidden Markov model source code, training of hidden Markov model, the input sequence hidden Markov model.
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维特比算法的设计与实现,不包含隐马尔科夫模型,可以输出最可能的状态序列。-Design and Implementation of the Viterbi algorithm does not contain a hidden Markov model, you can output the most likely state sequence.
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介绍了MATLAB 环境下的语音识别系统, 阐述了具体的实现过程。采用离散隐马尔科夫模型, 为提高识别率采用男女2 套参数, 对离散隐马尔科夫模型在实际语音识别系统中遇到的问题进行分析, 并给出相应的解决办法-】A digital speech recognition system and its realization course are introduced in the MATLAB environment.
The DHMM(Discrete Hidden Markov Model
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Hidden Markov Model to train anything we may want from basic phonemes to words to anything else for that matter.
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隐马尔科夫模型(HMM)C++代码,自己实现的,注释也很详细,希望对大家有用。-Hidden Markov Model.C++
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就目前三种主流的语音识别算法:动态时间规(DTW)、隐马尔科夫模型(HMM)和人工神经网络(ANN)。分析它们的原理、特点及实现过程,对 DTW 的语音识别进行实验,通过对比分析三种算法的特点,结合本文研究的实际情况,选择 DTW 作为研究的重点,提出利用遗传算法对其进行改进。
-The three mainstream speech recognition algorithms: Dynamic Time Regulations (DTW), hidden Markov model (HM
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基于matlab的隐马尔可夫模型应用,解决了经典的三大基本问题。带有详细解释-The matlab-based hidden Markov model is applied to solve the classic three basic questions. With a detailed explanation of
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语音识别基于hmm(隐马尔可夫模型)算法代码汇总(算法源码及应用)-Speech recognition based on hmm (Hidden Markov Model) algorithm code summary (algorithm source code and application)
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在语音识别中,用隐马尔科夫模型(HMM)进行训练,用C++编写的仿真代码-In speech recognition, hidden Markov model (HMM) for training, simulation code written in C++
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语音识别中的训练程序,简单实用。用C++编写。用用的是隐马尔可夫模型 ,经测试可直接使用。
-Training program in speech recognition, simple and practical. Prepared using C++. With the use of hidden Markov model has been tested and can be used directly.
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隐马尔可夫模型源代码,能用用于图像处理,分为前项与后项
-Hidden Markov model source code, can be used for image processing is divided into before and after entry
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是利用EM算法进行小波域隐马尔科夫模型的参数训练,这个个训练时间上比其它方法有所提高。,
-The EM algorithm for wavelet domain hidden Markov model parameter training, this training time than other methods has increased. ,
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隐马尔科夫模型工具箱使用样本本文件,可以广泛应用于识别等领域
-Hidden Markov model toolbox using the sample of this document can be widely used in the field of recognition
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两种不同的语音识别算法---动态时间伸缩算法(DTW)和隐马尔科夫模型(HMM),.doc-Speech recognition algorithm in two different dynamic time stretching algorithm--- (DTW) and Hidden Markov Model (HMM),. Doc
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