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hmmtrain
- 用于语音识别的离散隐马尔可夫模型程序（非特定人，多个观测序列），已调试通过。-used discrete speech recognition Hidden Markov Model (non-specific, a number of observation sequence), has been through testing.
hmmtrain
- HMM模型，用C语言实现的，可以用于模式识别-HMM model, with the C language implementation, and can be used for pattern recognition
hmmtrain
- 1.自己推导出来的mean与covariance来train theta 2.自己推导出来的mean与covariance来跑Viterbi 3.推theta时的Gradient Descent: Learing Rate: 0.000001 GD iter : 50 iteration 4.Scaler : 1/260-1. Their derived mean and covariance to train theta 2. Their derive
hmmtrain
- 隐马尔可夫模型参数的极大似然估计,用来求解HMM的第三个问题-HMM maximum likelihood parameter estimates used to solve the third problem HMM
HMM
- %函数名称：HMMTrain %参数：V-------训练观察序列（n X 1Cell矩阵），IPI,IA,IB-------模型参数初始值 %返回值：PI,A,B-------模型参数的学习结果 %函数功能：隐含马尔科夫模型的Baum-Welch学习算法(% function name: HMMTrain % parameters: V------- trains the observation sequence (n, X, 1Cell matrix), IPI, IA, and I