1. A method of modeling a speech recognition system, the method comprising: decoding a speech signal produced from a training text, the training text comprising a sequence of actual speech units to produce a sequence of predicted speech units; constructing a confusion model based on the sequence of actual speech units and the sequence of predicted speech units; and decoding a test text using the confusion model and a language model to generate at least one model-predicted sequence of speech units.