Measures of language model and acoustic model information in probabilistic speech recognition
نویسندگان
چکیده
To predict the performance of a probabilistic spccch rccognizer it is often desirable to estimate the contribution of thc language model and that of the acoustic model. We describc an approach to this problern which tries to take into account the intcraction between the two sources of information. Somc results are prcscnted concerning the 20000-word vocabulary, real-time IBM recognizcr of thc ltalian language.
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تاریخ انتشار 1989