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.