To obtain a speech recognition result with high robustness while improving meaning adaptability.

A 1st decoder 71 computes N or more most likelihood solutions and their likelihoods (score) by using a speech feature quantity extracted by a feature quantity extraction part 2, a phoneme HMM stored in a sound model storage part 3, and a word 2-gram model stored in a language model storage part 4. The maximum likelihood solution of highest order among the plurality of maximum likelihood solutions is selected by using a concept expression pattern model stored in a concept expression pattern model storage part 5 and a concept appearance pattern model stored in a concept appearance pattern model storage part 6 and regarded as a final recognition result.