 Hidden Markov model

Hidden Markov Model (HMM) is a statistical Markov model in which the system being modeled is assumed to be a Markov processcall it formula_1with unobservable (""hidden"") states.HMM assumes that there is another process formula_2 whose behavior "depends" on formula_1.