11. An information processing device for performance of large vocabulary continuous speech recognition, the information processing device comprising: a memory; a processor unit in communication with the memory that performs a method comprising: acquiring a speech as input; performing speech recognition with respect to said acquired speech, outputting a plurality of hypotheses that are a recognition result with a plurality of speech recognition scores, each speech recognition score being a score indicating apparent correctness of a speech recognition result for each hypothesis; calculating a structure score for each hypothesis, the structure score being obtained by, for all pairs of phonemes consisting of the hypothesis, multiplying a likelihood of inter-distribution distance of a pair of phonemes by weighting for said pair of phonemes and performing summation; and determining a total value of said structure score and said speech recognition score for each hypothesis, and based on said total value, for ranking said plurality of hypotheses; wherein, in said calculating step, said pair-by-pair weightings of said phoneme pairs are set such that weightings between pairs of vowel sounds and weightings of pairs relating to silence are set higher than weightings concerning pairs of other phonemes.
11. An information processing device for performance of large vocabulary continuous speech recognition, the information processing device comprising: a memory; a processor unit in communication with the memory that performs a method comprising: acquiring a speech as input; performing speech recognition with respect to said acquired speech, outputting a plurality of hypotheses that are a recognition result with a plurality of speech recognition scores, each speech recognition score being a score indicating apparent correctness of a speech recognition result for each hypothesis; calculating a structure score for each hypothesis, the structure score being obtained by, for all pairs of phonemes consisting of the hypothesis, multiplying a likelihood of inter-distribution distance of a pair of phonemes by weighting for said pair of phonemes and performing summation; and determining a total value of said structure score and said speech recognition score for each hypothesis, and based on said total value, for ranking said plurality of hypotheses; wherein, in said calculating step, said pair-by-pair weightings of said phoneme pairs are set such that weightings between pairs of vowel sounds and weightings of pairs relating to silence are set higher than weightings concerning pairs of other phonemes. 14. The information processing device according to claim 11 , wherein said processor unit further performs multiplication of said inter-distribution distance likelihood of said phoneme pair by a frame count of said phoneme and division by number of different combinations of pairs of phonemes appearing within said hypothesis to normalize said likelihood.