17. A non-transitory computer-readable medium storing software comprising instructions executable by one or more computers which, upon such execution, cause the one or more computers to perform operations comprising: receiving data corresponding to an utterance; obtaining location indicia for an area within a building where the utterance was spoken; determining a set of likelihoods based on the location indicia, each likelihood in the set corresponding to a likelihood that the utterance was spoken in a particular area of the building from a plurality of candidate areas of the building; selecting one or more candidate areas of the building from the plurality of candidate areas of the building based on the set of likelihoods; accessing, for each selected candidate area of the building, a model for speech recognition associated with the respective candidate area of the building; generating a composite model using the accessed models for speech recognition and the likelihoods associated with the corresponding candidate areas of the building; and generating a transcription of the utterance using the composite model.
17. A non-transitory computer-readable medium storing software comprising instructions executable by one or more computers which, upon such execution, cause the one or more computers to perform operations comprising: receiving data corresponding to an utterance; obtaining location indicia for an area within a building where the utterance was spoken; determining a set of likelihoods based on the location indicia, each likelihood in the set corresponding to a likelihood that the utterance was spoken in a particular area of the building from a plurality of candidate areas of the building; selecting one or more candidate areas of the building from the plurality of candidate areas of the building based on the set of likelihoods; accessing, for each selected candidate area of the building, a model for speech recognition associated with the respective candidate area of the building; generating a composite model using the accessed models for speech recognition and the likelihoods associated with the corresponding candidate areas of the building; and generating a transcription of the utterance using the composite model. 23. The computer-readable medium of claim 17 , wherein each model for speech recognition associated with the candidate areas of the building comprises a language model; and wherein the composite model comprises a composite language model.