1. A method for predicting a word accuracy, comprising: obtaining an utterance in speech data, wherein the utterance comprises an actual word string; processing the utterance for generating an interpretation of the actual word string; processing the utterance to identify an utterance frame; and calculating a prediction of a word accuracy associated with the interpretation based on a stationary signal-to-noise ratio and a non-stationary signal-to-noise ratio, wherein at least one of the stationary signal-to-noise ratio and the non-stationary signal-to-noise ratio is weighted, wherein the stationary signal-to-noise ratio and the non-stationary signal-to-noise ratio are determined according to a frame energy associated with the utterance frame, and wherein the calculating comprises: computing the stationary signal-to-noise ratio for the utterance; computing the non-stationary signal-to-noise ratio for the utterance; and computing the prediction of the word accuracy associated with the interpretation using the stationary signal-to-noise ratio and the non-stationary signal-to-noise ratio.