HTK Hidden Markov Model Toolkit 隐马尔科夫模型源码，ver 3.4 .1, for windows..1 HTK was (and is) a set of C library modules and tools that was initially used for speech recognition research (using continuous density HMMs) within the Speech Vision and Robotics
LAMP_HMM v. 0.9 (C++) Authors: Daniel DeMenthon and Marc Vuilleumier Date: Feb. 1999 - Revised Jan. 2003 This package contains C++ code for applying Hidden Markov Models (HMMs) to files of observation data. We used Tapas Kanungo's HMM C code as a st
一份完全按照李航<>介绍的HMM代码，供大家参考，具体内容如下
#coding=utf8
'''''
Created on 2017-8-5
里面的代码许多地方可以精简，但为了百分百还原公式，就没有精简了。
author: adzhua
'''
import numpy as np
class HMM(object):
def __init__(self, A, B, pi):
'''''
A: 状态转移概率矩阵
B: 输出观察概率矩阵
pi
