Myers' Hidden Markov Model software

• Platform: Unix
• Description: Hidden Markov model software for automatic speech recognition. C++ code that implements 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 and others. The code was built in order to learn how HMM systems work and we are now offering it to the net so that others can learn how to use HMMs for speech recognition. Keep in mind that ease of understanding was our primary concern, not efficiency. The code can be used to build an experimental speech recognition systems using "train_hmm" and "test_hmm", and can be used in conjunction with written tutorials on HMMs to understand how they work.
• Availability: By anonymous ftp from the comp.speech archive site. There are two files in the directory
  • ftp://svr-ftp.eng.cam.ac.uk/pub/comp.speech/recognition/
  The files are
  • hmm.README
  • hmm-1.03.tar.gz
• Contact: Richard Myers: rmyers@isx.edu

Back to Q6.5 of Section 6 of the comp.speech FAQ Home Page.

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