•Probability of observations given model.
–Use to select model given observations (eg, speech recognition).
–To refine estimate of HMM.
•Given model and observations, what were likely states?
–States may have semantics (rough/smooth contour).
–May provide intuitions about model.
•Find model to optimize probability of observations.
–Learning the model.