1. A computer-implemented method comprising: receiving, at a processing system, data corresponding to an utterance; obtaining, at the processing system, location indicia for an area within a building where the utterance was spoken; determining, at the processing system, 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, at the processing system, 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, at the processing system, a composite model using the accessed models for speech recognition and the likelihoods associated with the corresponding candidate areas of the building; and generating, at the processing system, a transcription of the utterance using the composite model.