DATA PROCESSOR, DATA PROCESSING METHOD AND PROGRAM

PROBLEM TO BE SOLVED: To obtain HMM that properly expresses a modeling object.SOLUTION: A structure adjustment part 16 selects a division object to be divided and merge objects to be merged from HMM states, divides the division object and merges the merge objects. The structure adjustment part 16 determines an eigenvalue difference value, which is the difference between the sum of eigenvalues of a partial state transition matrix which is generated by excluding a transition probability from a target state and a transition probability to the target state from a state transition matrix whose components are transition probabilities between HMM states and the sum of eigenvalues of the state transition matrix, as an object degree value representing the degree to which the target state should be selected as a division object or the like. The structure adjustment part 16 selects a state with its object degree value greater than a division threshold as a division object, and selects a state with its object degree value smaller than a merge threshold as a merge object. The present invention is applicable to HMM learning, for example.