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[Kaldi-developers] Baum-Welch training for HMMs

This post focus on run.pl of local parallelism.run.pl <options> <log-file> <command><options>: a job range specifier (e.g. JOB=1:4)<log-file>: file name for array jobs must contain identifier of the

This (continuous Gaussian distribution) allows simple single Gaussian distributions to be used for an initial untied model set where the training data is very patchy. Then once tying has been performed

This outline is based on the steps/train_mono.sh script.Use a subset of the training set to init the monophone modelgmm-init-mono [options] Topo-in Dim Model-out Tree-out gmm-init-mono "--train-feats=$

openfst-1.5.0$ mkdir build && cd build$ ../configure --prefix=/opt/openfst-1.5.0 \--enable-static=no \--enable-far \--enable-ngram-fsts \--enable-pdt \--enable-python \LDLIBS="-ldl"kaldi-c09caf9

symbol tableThe internal representation of an arc label is an integer.The symbols are used for I/O purpose.You can store the symbols table with the FST file or not. If you do, use the options --keep