Two-layer model for the formation of states of the hidden Markov chains

Procedures for the formation of states of the hidden Markov models are described. Formant amplitudes and frequencies are used as state features. The training strategy is presented that allows one to calculate the parameters of conditional probabilities of the generation of a given formant set by a given hidden state with the help of the maximum likelihood method.