Baum-Welch expectation maximization library


Red led Version 0.3.4 is now available for download.

NEW Baum-Welch is now available on conda-forge. Linux (x86) and Mac OS X users who already have conda can install the library and all dependencies using the following command: conda install -c conda-forge baumwelch.


OpenGrm Baum-Welch is a C++ library (including associated binaries) which allows the user to estimate the parameters of a discrete hidden Markov model (HMM) using the Baum-Welch algorithm (a special case of the expectation maximization meta-algorithm). It uses OpenFst library finite-state transducers (FSTs) and FST archives (FARs) as inputs and outputs.


This topic: GRM > WebHome > BaumWelch
Topic revision: r9 - 2020-07-22 - KyleGorman
 
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