Predicting speech recognition performance in place of expensive recognition experiments is a very useful approach for the research and development of speech recognition systems. In this paper, we propose a method to predict speech recognition performance when using new test data and/or a new acoustic model. Performance prediction tests showed that the proposed method can accurately predict recognition performance, thus saving a large amount of computer resources.