Hidden_Markov_model_for_automatic_speech_recognition 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.

Hidden_Markov_model_for_automatic_speech_recognition
....................................................\Debug
....................................................\generate_seq.cc
....................................................\hmm.cc
....................................................\hmm.h
....................................................\Makefile
....................................................\makefile.old
....................................................\random.dsp
....................................................\random.dsw
....................................................\random.h
....................................................\random.ncb
....................................................\random.opt
....................................................\random.plg
....................................................\README.hmm
....................................................\test.hmm
....................................................\test_hmm.cc
....................................................\train_hmm.cc

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