2. The large vocabulary continuous speech recognition method according to claim 1 ; wherein said method further comprises the step of: (e) performing by said computer steps (b) and (c) with respect to speech data for training and learning pair-by-pair weightings for said phoneme pairs so as to correctly perform hypothesis ranking by said summation value of said speech recognition score and said structure score.
2. The large vocabulary continuous speech recognition method according to claim 1 ; wherein said method further comprises the step of: (e) performing by said computer steps (b) and (c) with respect to speech data for training and learning pair-by-pair weightings for said phoneme pairs so as to correctly perform hypothesis ranking by said summation value of said speech recognition score and said structure score. 3. The large vocabulary continuous speech recognition method according to claim 2 ; wherein, in said step (c), said computer multiplies said inter-distribution distance likelihood of said phoneme pair by a frame count of said phoneme and divides by number of different combinations of pairs of phonemes appearing within said hypothesis to normalize said likelihood.