Introduction - If you have any usage issues, please Google them yourself
This code implements in C++ a basic left-right hidden Markov model
and corresponding Baum-Welch (ML) training algorithm. It is meant as
an example of the HMM algorithms described by L.Rabiner (1) and
others. Serious students are directed to the sources listed below for
a theoretical description of the algorithm. KF Lee (2) offers an
especially good tutorial of how to build a speech recognition system
using hidden Markov models.
Packet : 57578902hmmmodel.rar filelist
马尔可夫模型\generate_seq.cc
马尔可夫模型\hmm.cc
马尔可夫模型\hmm.h
马尔可夫模型\Makefile
马尔可夫模型\makefile.old
马尔可夫模型\random.h
马尔可夫模型\README.hmm
马尔可夫模型\test.hmm
马尔可夫模型\test_hmm.cc
马尔可夫模型\train_hmm.cc
马尔可夫模型