14. A non-transitory computer-readable medium comprising one or more modules configured to execute in one or more processors of a computing device, the one or more modules being further configured to: receive, from a sensor configured to detect presence of a user independent of a direction of the user's gaze and without detecting physical contact between the user and the computing device, an indication that presence of the user was detected; begin to listen for utterances from the user in response to receiving the indication; detect a first voice signal corresponding to a first utterance of the user; determine an identity of the user using the first voice signal; determine speech recognition model information using at least one of the first voice signal and user information stored in a user profile associated with the identity of the user; perform speech recognition on the first voice signal using the speech recognition model information to obtain speech recognition results that indicate that a second utterance corresponding to a language characteristic is likely to be uttered by a second user different from the user at a time after a current time; and select a second user acoustic model corresponding to the language characteristic for performing speech recognition.
14. A non-transitory computer-readable medium comprising one or more modules configured to execute in one or more processors of a computing device, the one or more modules being further configured to: receive, from a sensor configured to detect presence of a user independent of a direction of the user's gaze and without detecting physical contact between the user and the computing device, an indication that presence of the user was detected; begin to listen for utterances from the user in response to receiving the indication; detect a first voice signal corresponding to a first utterance of the user; determine an identity of the user using the first voice signal; determine speech recognition model information using at least one of the first voice signal and user information stored in a user profile associated with the identity of the user; perform speech recognition on the first voice signal using the speech recognition model information to obtain speech recognition results that indicate that a second utterance corresponding to a language characteristic is likely to be uttered by a second user different from the user at a time after a current time; and select a second user acoustic model corresponding to the language characteristic for performing speech recognition. 17. The non-transitory computer-readable medium of claim 14 , wherein the one or more modules are further configured to take an action using the speech recognition results.