This paper describes the application of the SUMMIT speech recognition system to continuously spoken Japanese speech within a limited domain. Summit is a speech recognition system being developed at MIT which makes explicit use of acoustic-phonetic knowledge, embedded in a segmental framework that can be trained automatically [1], and has been ported to many applications in English [2, 3]. In order to cope with Japanese speech, we prepared a word lexicon with baseform pronunciations and morphological categories, wrote a set of phonological rules, and developed a morphological category-pair grammar for Japanese. Preliminary recognition experiments within the VOYAGER domain [2] were performed using data read by a single male speaker. Word and sentence error rates of 7.1% and 41.6%, respectively were obtained.