1. A method comprising: providing a deep neural network acoustic model; receiving audio data including one or more utterances of a speaker; extracting a plurality of speech recognition features from the one or more utterances of the speaker; creating a speaker identity vector for the speaker based on the extracted speech recognition features; and adapting the deep neural network acoustic model for automatic speech recognition using the speech recognition features and the speaker identity vector.