Baum-Welch expectation maximization library
Version 0.3.0 is now available for download.
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.
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
.