搜索资源列表
matlab_hmm
- hide markov model(HMM) for matlab including initiate,train,and test three parts -hide markov model (HMM) for Matlab includi Vi initiate, train, and test three parts
SVM_for_classfication
- 一个基于HMM的说话人识别的源程序程序和列子-Copy all files in Matlab current directory and type "speakerrecognition" on Matlab command window. After unzipping the file correctly, you will find two folders, TRAIN and TEST, each contains some files, named: S
em_ghmm
- EM算法的MATLAB实现,EM算法是HMM中用于随机过程模型参数训练的经典算法-the inplement of algorithm EM with MATLAB，the algorithm is a claasical mathod which is used to train the patameter of the HHM model.
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
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.
factorialHMM
- Factorial hidden markov model and compute likelihood per each cycle with train test and validation set. train HMM used Backward-Forward 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
fb_algor
- matlab implementation for forward-backward algorithm for train and test of hidden markov model (HMM).
HMM
- Hidden Markov Model to train anything we may want from basic phonemes to words to anything else for that matter.
1003
- some paper talk about how to use hmm train data -some paper talk about how to use hmm train data
hmm(train-and-recognize)
- 用于DHMM模型的训练和识别，提供例子测试-Used for DHMM model training and recognition, provide sample testing
train
- 这是HMM算法里的训练功能的程序，是EM算法中的一种，即前向后向算法。-This is where the training function HMM algorithm procedure is an EM algorithm, the algorithm back before that.
the-code-of-HMM
- 隐马尔可夫模型源 包含了train和test 对于任意序列有效-the code of HMM
mengsang
- 完整的基于HMM的语音识别系统，关于小波的matlab复合分析，相参脉冲串复调制信号。- Complete HMM-based speech recognition system, Matlab wavelet analysis on complex, Complex modulation coherent pulse train signal.
matlab-hmm-master
- 主要应用HMM模型训练语音数据，实现说话人识别的功能(The HMM model is used to train voice data to realize speaker recognition.)