1. A method, comprising: receiving an input signal that is one of a wideband signal or a narrowband signal, the input signal indicative of a spoken utterance captured by a microphone; extracting features from the one of the wideband signal or the narrowband signal for inclusion in a feature set; inputting the feature set to a deep neural network (DNN) in a speech recognition system regardless of whether the input signal is the wideband signal or the narrowband signal, the DNN being trained using a set of wideband signals and a set of narrowband signals, the set of narrowband signals independent from the set of wideband signals, wherein the DNN generates an output responsive to the inputting of the feature set to the DNN; recognizing a word in the spoken utterance based upon the output of the DNN; and performing a computing operation based upon the word, wherein the method is executed by a processor of a computing device.