Layered hidden Markov model

The layered hidden Markov model (LHMM) is a statistical model derived from the hidden Markov model (HMM). A layered hidden Markov model consists of N levels of HMMs, where the HMMs on level i + 1 correspond to observation symbols or probability generators at level i.