搜索资源列表
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
HMMforspeechrecogntion
- 一个可执行的HMM语音识别程序例程,实现了对10个数字音的识别程序,包含了HMM语音识别中的分段,MFCC特征提取,Baum-Welch训练,及Viterbi等算法,通过此例程可以很好的理解HMM的算法原理-An executable HMM-based 10 digits speech recogntion program example. this code zip file includes segmentation, MFCC feature extraction, Baum-Welc
cdhmm
- 连续隐马尔可夫识别程序。 包含的模块,可以比较完整地进行语言识别。 主要模块: Test.m Train.m viterbi.m baum.m pdf.m recog.m mixture.m mfcc.m -speech recognize using HMM include 11 matlab fuction: Test.m Train.m viterbi.m baum.m pdf.m recog.m mixture.
viterbi
- 该程序实现的功能:给定HMM和观察序列,求最可能的状态。-The program realization of functions: for a given HMM and observation sequence, find the best possible condition.
viterbi
- 实现hmm基本算法。此代码实现基本的viterbi算法。有学习功能-The matlab code implements Viterbi algorith to realize HMM s learning.
viterbi
- 用C++实现HMM 的维特比算法,主要是用于参数B的初值选取以及找到隐藏序列-HMM with a C++ implementation of the Viterbi algorithm, mainly used for selecting the initial value of parameters B and find the hidden sequence
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
- 此代码包含了HMM的backward算法,viterbi算法以及,前后向算法-This code includes backward,vitibi and Baum-Welch algorithm of HMM.
dtkirsch-hmm-v0.2.0-0-g7feffa1
- 这是一个Ruby机器学习项目中本地实现广义隐马尔可夫模型的分类。目前,它能够监督学习和Viterbi解码。-This project is a Ruby gem ( hmm ) for machine learning that natively implements a (somewhat) generalized Hidden Markov Model classifier. At present, it is capable of supervised learning (using la
hmm-ViterbiPalgorithm
- 介绍了HMM模型几种算法中的一种Viterbi Algorithm,并给出了其实现程序-HMM model introduced several algorithms in an Viterbi Algorithm, and gives its realization procedure
viterbi
- Viterbi算法,功能是实现了如下:给定HMM和观察序列,求最可能的状态。-The Viterbi algorithm, the function is as follows: Given HMM and observation sequences, find the most likely state.
HMM
- 隐马尔科夫模型相关算法,包括前向算法、后向算法,维特比算法等-Hidden markov model algorithm, including the forward algorithm and backward algorithm and viterbi algorithm, etc
Viterbi
- 实现hmm模型当中的维特比算法,用c语言实现-Hmm model which the Viterbi algorithm, using c language
HMM_viterbi
- hmm 维特比算法程序,很简单,但是非常适合初学者阅读和理解-hmm Viterbi algorithm, is very simple, but very suitable for beginners to read and understand
Viterbi
- 是用于解决基于HMM的人脸识别算法中解码问题的viterbi算法,在VS2010上运行成功,对加深对 viterbi算法的理解有一定的帮助-For HMM-based face recognition problem viterbi decoding algorithm runs in VS2010 success viterbi algorithm for deepening the understanding of some help
viterbi-algorithm
- 用Viterbi算法来解码隐马尔科夫模型(HMM)的状态变量。其中,mainfile_Vit.m是主函数,Viterbi_algorithm.m是调用的Viterbi算法函数。-Viterbi algorithm for decoding the hidden states of the Hidden Markov Model(HMM). In this folder, "mainfile_Vit.m" file is the main function, and "Viterbi_algori
viterbi
- 语音识别HMM算法中的解码功能的程序,其中是根据观测序列和已知模型去求状态序列-Speech recognition HMM algorithm decoding process, which is to seek observer status in accordance with the sequence and the known sequence of the model
viterbi
- 隐马尔可夫模型算法程序中的viterbi算法,一般用来调用-HMM algorithm program viterbi algorithm, generally used to call
activity-recognition--based-on-hmm
- 一种HMM可以呈现为最简单的动态贝叶斯网络。隐马尔可夫模型背后的数学是由LEBaum和他的同事开发的。它与早期由RuslanL.Stratonovich提出的最优非线性滤波问题息息相关,他是第一个提出前后过程这个概念的。 在简单的马尔可夫模型(如马尔可夫链),所述状态是直接可见的观察者,因此状态转移概率是唯一的参数。在隐马尔可夫模型中,状态是不直接可见的,但输出依赖于该状态下,是可见的。每个状态通过可能的输出记号有了可能的概率分布。因此,通过一个HMM产生标记序列提供了有关状态的一些序
Viterbi-argolrithm
- HMM模型里Viterbi argolrithm的实现-Viterbi argolrithm