A hidden Markov model is a stochastic process that is used in many applications, such as speech recognition and machine translation, to model a sequence of observations that are generated by an underlying sequence of hidden states.
A hidden Markov model is a stochastic process that is used in many applications, such as speech recognition and machine translation, to model a sequence of observations that are generated by an underlying sequence of hidden states.