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hmm的c++语言实现
- c++实现HMM，向前向后算法，Viterbi算法，Baum-Welch算法。其中包括用c++定义的HMM数据结构。全部是cpp和h的文件-c achieve HMM, forward backward algorithm, Viterbi algorithm, Baum-Welch algorithm. C including the use of the HMM definition data structure. Cpp all the documents and h
hmm-viterbi-c
- 下载的一个不错的HMM程序，主要实现HMM中的viterbi最佳路径选择算法，用vc编写，可以根据自己需要参考修改 this is a excellent HMM program,it completes the VITERBI algorithm in HMM.
hmm-1.03.tar.gz
- 语音识别中经典的HMM算法，包括产生序列、测试和参数训练，由C语言编写。, In speech recognition classical HMM algorithm, including has the sequence, the test and the parameter training, compiles by the C language.
HMM-DL.rar
- 详细介绍了hmm算法的原理，及相关的前向算法后向算法，viterbi算法，讲解详细，很好,Hmm algorithm described in detail the principles, and related to the algorithm to the algorithm, viterbi algorithm, explained in detail, very good
hmm.zip
- 隐马尔可夫链模型和例程（包括前向、后向算法、Viterbi解码以及为了减少概率数值计算误差编写的对数运算程序）,Introduction to Hiden Markov Model and Example Codes
VITERBI(HMM)
- UMDHMM这个C语言版本的HMM工具包中的维特比算法程序展示给大家.-UMDHMM the C language version of the HMM Toolkit Viterbi algorithm in the program presented to you.
viterbi
- viterbi算法，用于HMM（隐马尔科夫模型）中。-viterbi
Create
- Speech Recognition system using HMM...includes Viterbi , Forwarding and Backtracking Algorithm
viterbi
- viterbi算法详细介绍，结合例子说明hmm模型-Details viterbi algorithm, combined with examples of model hmm
Hmm
- Hidden Markov Model Toolbox
hmm
- 用C语言实现HMM的前向、后向和viterbi搜索算法-use C language to implement the forward, back and viterbi algorithms
hmm
- The Viterbi Algorithm
hmm
- hmm文件时运用HMM算法实现噪声环境下语音识别的。其中vad.m是端点检测程序；mfcc.m是计算MFCC参数的程序；pdf.m函数是计算给定观察向量对该高斯概率密度函数的输出概率；mixture.m是计算观察向量对于某个HMM状态的输出概率，也就是观察向量对该状态的若干高斯混合元的输出概率的线性组合；getparam.m函数是计算前向概率、后向概率、标定系数等参数；viterbi.m是实现Viterbi算法；baum.m是实现Baum-Welch算法；inithmm.m是初始化参数；trai
Viterbi
- 隐马尔可夫模型Viterbi算法实现，采用两种不同的Viterbi算法-HMM Viterbi algorithm, Viterbi algorithm using two different
my_viterbi
- Viterbi算法及其实现，C++可发的，HMM的初学者特别适用。-It very useful for V++ learner.
HMM
- VisualBasic 的 HMM 范例 HMM模型，Viterbi，滑动窗算法唐纳 Helland（定位在人类的DNA基因的目的)-HMM、Viterbi、and Sliding Window Algorithms (for purposes of locating genes in human DNA) by Tanner Helland This project demonstrates use of a Hidden Markov Model (HMM) to define
HMM
- Hidden markov model toobox with viterbi path
HMM
- 基于应隐马尔科夫模型的词性标注实现，Viterbi算法实现 -Should be based on hidden Markov models to achieve part of speech tagging, Viterbi algorithm
hmm
- 解决隐马尔科夫问题中的MATLAB程序，包含前后向算法，Viterbi求解，BaumWelch求解(MATLAB in solving the problem of hidden markov, including front and back to the algorithm, Viterbi, BaumWelch solution)
HMM-homework
- 隐马尔科夫实现，包含forward-hmm, Viterbi-hmm, Baum-Welch-hmm(Hidden Markov implementation, including forward-hmm, Viterbi-hmm, Baum-Welch-hmm)