ERROR CORRECTION OF SPEECH RECOGNITION OUTPUTS USING GENERALIZED LR PARSING AND CONFUSION MATRIX

In this paper, we describe a method for correcting misrecognition results derived from a speech recognizer. Our method is based on generalized LR parsing and uses a confusion matrix in order to select the best sentence out of multiple candidates. The proposed method was applied to the actual speech recognition system developed in our laboratory.