13. The information apparatus according to claim 9 , the information apparatus further comprising: a model adapting part configured to generate a third acoustic model of the low recognition rate speakers by performing a process for adapting a second acoustic model to the first speech dataset, the second acoustic model being generated using the second speech dataset, wherein the similarity calculating part further includes a speech recognition part performing speech recognition on respective pieces of speech data in the second speech dataset using the third acoustic model and the second acoustic model, thereby obtaining recognition scores of the respective pieces of speech data as the first degree of similarity and the second degree of similarity.
9. An information apparatus that generates a first acoustic model for speech recognition, the information apparatus comprising: a first speech dataset configured to store speech data uttered by low recognition rate speakers; a second speech dataset configured to store speech data uttered by a plurality of speakers; a fourth speech dataset configured to store speech data serving as a candidate to be mixed with speech data of the second speech dataset; a third speech dataset configured to store speech data that is derived from the fourth speech dataset and mixed with speech data of the second speech dataset; a similarity calculating part configured to obtain, for each piece of speech data in the fourth speech dataset, a degree of similarity to a given average voice in the first speech dataset; a speech data selecting part configured to record the speech data in the fourth speech dataset, the degree of similarity of which is within a selection range, as selected speech data in the third speech dataset; and an acoustic model generating part configured to generate a first acoustic model using the speech data recorded in the second speech dataset and the third speech dataset.