The syntax-oriented speech understanding system - SPOJUS-SYNO

نویسندگان

  • Seiichi Nakagawa
  • Yoshihisa Ohguro
  • Yasuhide Hashimoto
چکیده

This paper describes a syntax oriented spoken japanese understanding system named "SPOJUS-SYNO". At first, this system makes word HMMs automatical!y by concatenating syl!able-based (trained) HMMs. Then a word lattice is hypothesized by using a word spotting algorithm and word-based HMMs. Final!y, the timesynchronous left-to-right parsing algorithm is executed to find the best word sequence from the word lattice according to syntactic knowledge represented by CFG. This system was implemented in the "UNIX-QA" task with the vocabulary size of 521 words. Experimental resu1t shows that the sentence understanding rate was about 80'l'o for six male speakers.

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تاریخ انتشار 1989