Hierarchical hidden Markov model

The hierarchical hidden Markov model (HHMM) is a statistical model derived from the hidden Markov model (HMM). In an HHMM, each state is considered to be a self-contained probabilistic model.

Source: Wikipedia — Hierarchical hidden Markov model (CC BY-SA 4.0)