An Abridged Algorithm and Parameter Estimation of Second-Order Hidden Markov Models
DU Shi-ping · Journal of Shanxi University · 2009
An abridged algorithm of second-order Hidden Markov Models(HMM2) was made.New algorithm was similar to the well-known Baum-Welch algorithm for estimating the parameters of a Hidden Markov Models(HMM),which allowed the observation PDF of each state to be defined and estimated using a different feature set.Based on this method the corresponding recongnition method and parameter estimation are presented.This method was based on sufficient statistics and resuited in no theoretical loss of performance.