1. A method for predicting a word accuracy, comprising: obtaining, by a processor, an utterance in speech data, wherein the utterance comprises an actual word string; processing, by the processor, the utterance for generating an interpretation of the actual word string; processing, by the processor, the utterance to identify an utterance frame; and calculating, by the processor, 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 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.
1. A method for predicting a word accuracy, comprising: obtaining, by a processor, an utterance in speech data, wherein the utterance comprises an actual word string; processing, by the processor, the utterance for generating an interpretation of the actual word string; processing, by the processor, the utterance to identify an utterance frame; and calculating, by the processor, 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 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. 11. The method of claim 1 , wherein the computing the prediction of the word accuracy associated with the interpretation is performed according to a linear least square algorithm.