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For many practical applications of speech recognition systems, it is quite desirable to have an estimate of confidence for each hypothesized word. Unlike previous works on confidence measures, we have proposed features for confidence measures that are extracted from outputs of more than one LVCSR models. For further analysis of the proposed confidence measure, this paper examines the correlation between each word's confidence and the word's features such as its part-of-speech and syllabledoi:10.1109/icassp.2003.1198705 dblp:conf/icassp/UtsuroKWNN03 fatcat:6y5wtdc3h5bivlmcvrpdvqlvoy