11. A method executed by a computing device comprising a speech recognition system, the speech recognition system including a deep neural network (DNN) trained using speech data from a plurality of users, the DNN comprising a plurality of learned parameters, the method comprising: receiving a spoken utterance of a particular user; responsive to receiving the spoken utterance, selecting a value of a regularization weight based at least in part upon a length of the spoken utterance in time; and responsive to selecting the value of the regularization weight, adapting at least one parameter of the plurality of learned parameters in the DNN based at least in part upon the regularization weight and the spoken utterance to form an adapted DNN, the adapted DNN being customized for the particular user.
11. A method executed by a computing device comprising a speech recognition system, the speech recognition system including a deep neural network (DNN) trained using speech data from a plurality of users, the DNN comprising a plurality of learned parameters, the method comprising: receiving a spoken utterance of a particular user; responsive to receiving the spoken utterance, selecting a value of a regularization weight based at least in part upon a length of the spoken utterance in time; and responsive to selecting the value of the regularization weight, adapting at least one parameter of the plurality of learned parameters in the DNN based at least in part upon the regularization weight and the spoken utterance to form an adapted DNN, the adapted DNN being customized for the particular user. 16. The method of claim 11 , further comprising: immediately subsequent to adapting the at least one parameter of the plurality of learned parameters to form the adapted DNN, utilizing the adapted DNN to recognize at least one word in the spoken utterance of the user.