8. A computer-implemented method comprising: obtaining (i) audio data encoding an utterance, and (ii) data indicating a context of a user of a mobile device; obtaining one or more initial candidate transcriptions from an automated speech recognizer based on the audio data; obtaining one or more alternate terms that are associated with the context of the user of the mobile device; selecting one or more of the alternate terms that are associated with the context of the user of the mobile device, and that (i) do not occur in the initial candidate transcriptions that are output by the automated speech recognizer, and (ii) are indicated as phonetically similar to one or more terms that do occur in the initial candidate transcriptions that are output by the automated speech recognizer; generating one or more additional candidate transcriptions based on the (i) initial candidate transcriptions that are output by the automated speech recognizer, and (ii) the selected alternate terms; providing the one or more additional candidate transcriptions to the automated speech recognizer; selecting, by the automated speech recognizer, a particular candidate transcription that corresponds to the utterance from among the initial candidate transcriptions that are output by the automated speech recognizer and the additional candidate transcriptions; and providing the particular candidate transcription for output.
8. A computer-implemented method comprising: obtaining (i) audio data encoding an utterance, and (ii) data indicating a context of a user of a mobile device; obtaining one or more initial candidate transcriptions from an automated speech recognizer based on the audio data; obtaining one or more alternate terms that are associated with the context of the user of the mobile device; selecting one or more of the alternate terms that are associated with the context of the user of the mobile device, and that (i) do not occur in the initial candidate transcriptions that are output by the automated speech recognizer, and (ii) are indicated as phonetically similar to one or more terms that do occur in the initial candidate transcriptions that are output by the automated speech recognizer; generating one or more additional candidate transcriptions based on the (i) initial candidate transcriptions that are output by the automated speech recognizer, and (ii) the selected alternate terms; providing the one or more additional candidate transcriptions to the automated speech recognizer; selecting, by the automated speech recognizer, a particular candidate transcription that corresponds to the utterance from among the initial candidate transcriptions that are output by the automated speech recognizer and the additional candidate transcriptions; and providing the particular candidate transcription for output. 12. The method of claim 8 , comprising: biasing, by an automated speech recognizer, speech recognition of the utterance using the particular candidate transcription.