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Description: 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
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Size: 131427 |
Author: Tianliang Liu |
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Description: java实现的隐马尔科夫模型，实现训练和预测-java realize the hidden Markov model, training and forecast
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Size: 104448 |
Author: 郭进 |
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Description: 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
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Size: 131072 |
Author: Tianliang Liu |
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Description: 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.
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Size: 21504 |
Author: yany |
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Description: 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
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Size: 1024 |
Author: 宗丹 |
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Description: 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.m
mfcc.m
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Size: 537600 |
Author: JF |
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Description: Factorial hidden markov model and compute likelihood per each cycle with train test and validation set. train HMM used Backward-Forward Algorithm.
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Size: 484352 |
Author: ali |
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Description: 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；train.m是训练程序；main.m是训练程序的脚本文件；recog.m是识别程序。-hmm HMM algorithm file using speech recognition in noisy environments. Which is the endpoint detection process vad.m mfcc.m procedure is to calculate the MFCC parameters pdf.m function is calculated for a given observation vector of the Gaussian probability density function of output probability mixture.m is to calculate the observation vector for a HMM state output probability of observation vector is the number of Gaussian mixture per state output probability of the linear combination getparam.m before the calculation of the probability function, backward probability, calibration coefficients and other parameters viterbi.m is Viterbi algorithm implementation baum.m Baum-Welch algorithm to achieve inithmm.m is the initialization parameters train.m is the training program main.m training program is a script file recog.m is to identify procedures.
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Size: 538624 |
Author: 于军 |
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Description: matlab implementation for forward-backward algorithm for train and test of hidden markov model (HMM).
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Size: 1024 |
Author: mohsen |
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Description: 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: S1.WAV, S2.WAV, ? each is labeled after the ID of the speaker.
These files were recorded in Microsoft WAV format. In Windows systems, you can
listen to the recorded sounds by double clicking into the files.
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Size: 6144 |
Author: zq |
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Description: Hidden Markov Model to train anything we may want from basic phonemes to words to anything else for that matter.
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Size: 3072 |
Author: joskid |
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Description: some paper talk about how to use hmm train data -some paper talk about how to use hmm train data
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Size: 562176 |
Author: Cynthia |
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Description: 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
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Size: 46080 |
Author: vsdlh ausdhf |
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Description: 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.
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Size: 1024 |
Author: 张宇 |
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Description: 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
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Size: 15360 |
Author: keer |
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Description: 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.
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Size: 6144 |
Author: gunsenbengen |
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Description: 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.)
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Size: 14374912 |
Author: 丿风起 |
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