Parameter Estimation II: Forward-Backward Algorithm
We don’t know what the model is, but we can work out the probability of the observation sequence using some (perhaps randomly chosen) model.
Looking at that calculation, we can see which state transitions and symbol emissions were probably used the most.
By increasing the probability of those, we can choose a revised model which gives a higher probability to the observation sequence.