![]() In Speech Recognition, Hidden States are Phonemes, whereas the observed states are speech or audio signal. It is traditional method to recognize the speech and gives text as output by using Phonemes. Speech Recognition mainly uses Acoustic Model which is HMM model. Hidden Markov Model explains about the probability of the observable state or variable by learning the hidden or unobservable states. 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. The current state always depends on the immediate previous state. Hidden Markov Model is the set of finite states where it learns hidden or unobservable states and gives the probability of observable states. Understanding Hidden Markov Model for Speech Recognition Hidden Markov Model:
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