1. A computer-implemented method comprising: receiving context data; determining a likely context associated with a user, based on at least a portion of the context data; selecting one or more language model biasing parameters based at least on the likely context associated with the user; determining a context confidence score associated with the likely context based on at least a portion of the context data; adjusting one or more of the language model biasing parameters based at least on the context confidence score; biasing a baseline language model based at least on one or more of the adjusted language model biasing parameters; and providing the biased language model for use by an automated speech recognizer (ASR).