Emission probability ($b_i(x)=P(O_t=x\mid Z_t=i)$)

An emission probability in a Hidden Markov model is the probability of an observation conditional on its hidden state. For a finite observation alphabet, each state's emission probabilities sum to one. A match state can therefore emit several different characters, each with its own probability.