9. A speech recognition device comprising: a speech transformation unit that performs, on speech data as a recognition target acquired through the first environment factor of a given type, inverse transform of the variation indicated by the first variation model corresponding to the given type among first variation models obtained by the acoustic model learning device according to one of claim 1 , wherein speech recognition is performed on speech data obtained by the speech transformation unit.
9. A speech recognition device comprising: a speech transformation unit that performs, on speech data as a recognition target acquired through the first environment factor of a given type, inverse transform of the variation indicated by the first variation model corresponding to the given type among first variation models obtained by the acoustic model learning device according to one of claim 1 , wherein speech recognition is performed on speech data obtained by the speech transformation unit. 16. The non-transitory computer readable medium according to claim 9 , wherein each of the acoustic model learning steps uses a probability that the sample speech data is observed, represented by the parameters of the first variation model, the second variation model and the environment-independent acoustic model, as the integrated degree of fitness.