Description: The General Hidden Markov Model library (GHMM) is a freely available LGPL-ed C library implementing efficient data structures and algorithms for basic and extended HMMs. The development is hosted at Sourceforge http://sourceforge.net/projects/ghmm/, where you have access to the Subversion repository, mailing lists and forums.
The GHMM is developed by the Algorithmics group at the Max Planck Institute for Molecular Genetics.
Features
* Discrete and continous emissions
* Mixtures of PDFs for continous emissions
* Non-homogenous Markov chains
* Pair HMMs (contributed by Genoscope )
* Clustering and mixture modelling for HMMs
* Graphical Editor HMMEd
* Python bindings
* XML-based file format
* Portable (autoconf, automake, Windows)
* C++ API (NOT under active development, unsupported)
To Search:
File list (Check if you may need any files):
audio_C
.......\audio.c
.......\audio.elf
.......\audio.srec
.......\audio_C.ncf
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