Next, initialize a set of HMM parameters using the commands.
names={'MEAN','STDV'};
min_std=[.1 .1];
NSTATES=3;
NMODE=10;
parm=init_hmm(x,NSTATES,NMODE,names,min_std);

This first two commands define the feature names
and the minimum standard deviations for
Gaussian mixture estimation (See Section 13.2).
The initial HMM parameters are obtained by using
`software/init_hmm.m` which
creates a uniform state transition matrix and prior probability
. The PDF of the feature vector in each state is approximated
by Gaussian mixtures. The starting point for the Gaussian
mixture parameters are obtained by the
function
`software/init_gmix.m` described in the previous
sections.

Baggenstoss
2017-05-19