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.

Packet : 45665982hidden_markov_model_for_automatic_speech_recognition.rar filelist
Hidden_Markov_model_for_automatic_speech_recognition\generate_seq.cc
Hidden_Markov_model_for_automatic_speech_recognition\hmm.cc
Hidden_Markov_model_for_automatic_speech_recognition\hmm.h
Hidden_Markov_model_for_automatic_speech_recognition\Makefile
Hidden_Markov_model_for_automatic_speech_recognition\makefile.old
Hidden_Markov_model_for_automatic_speech_recognition\random.dsp
Hidden_Markov_model_for_automatic_speech_recognition\random.dsw
Hidden_Markov_model_for_automatic_speech_recognition\random.h
Hidden_Markov_model_for_automatic_speech_recognition\random.ncb
Hidden_Markov_model_for_automatic_speech_recognition\random.opt
Hidden_Markov_model_for_automatic_speech_recognition\random.plg
Hidden_Markov_model_for_automatic_speech_recognition\README.hmm
Hidden_Markov_model_for_automatic_speech_recognition\test.hmm
Hidden_Markov_model_for_automatic_speech_recognition\test_hmm.cc
Hidden_Markov_model_for_automatic_speech_recognition\train_hmm.cc
Hidden_Markov_model_for_automatic_speech_recognition\Debug
Hidden_Markov_model_for_automatic_speech_recognition

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