Understanding Hidden Markov Model for Speech Recognition Hidden Markov Model: Hidden Markov Model is the set of finite states where it learns hidden or unobservable states and gives the probability of observable states. The current state always depends on the immediate previous state. In Hidden Markov Model, the state is not visible to the observer (Hidden states), whereas observation states which depends on the hidden states are visible. Introduction: Hidden Markov Model explains about the probability of the observable state or variable by learning the hidden or unobservable states. Speech Recognition mainly uses Acoustic Model which is HMM model….