DISCRIMINATIVE LANGUAGE MODEL TRAINING USING A CONFUSION MATRIX

Features are disclosed for discriminative training of speech recognition language models. A confusion matrix can be generated from acoustic model training data for use in discriminative training. The confusion matrix can include probabilities for the substitution, insertion, and/or deletion of some or all subword units of a language. Probabilities can be calculated based on the presence or absence of subword units in a processed acoustic model training data audio recording when compared to a correct transcription of the recording. The probabilities can be used to generate erroneous transcriptions in language model training corpora, and the language model can be trained to distinguish the erroneous transcriptions from the correct transcriptions.