5. A computer-implemented method comprising: determining a speech recognition model, wherein the speech recognition model was trained by: determining first characteristics corresponding to a first word, determining second characteristics corresponding to a second word, determining that the first characteristics are similar to the second characteristics, identifying, in a lexicon, a variation of the second word, wherein the variation of the second word differs from the second word by at least one letter, creating, based at least in part on determining that the first characteristics are similar to the second characteristics and based at least in part on identifying the variation of the second word, a variation of the first word, wherein the variation of the first word differs from the first word by the at least one letter, and training the speech recognition model to recognize the first word and the variation of the first word; and performing speech recognition using the speech recognition model to determine speech recognition output including the variation of the first word.
12. The computer-implemented method of claim 5 , further comprising: determining data corresponding to use of the speech recognition model over a time period; sending the data to a second device; receiving a second speech recognition model configured to recognize the first word but not the variation of the first word; and performing speech recognition using the second speech recognition model.