Shigeo Morishima*, Hiroshi Harashima, Hiroshi Miyakawa

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review


The authors describe a knowledge-based isolated Japanese word recognition algorithm. The program is written in Prolog/KR and has two basic inference processes: a bottom-up search and a top-down search. In the bottom-up process, segmentation and vowel decision are performed and some target word patterns are generated. The top-down process includes a consonant decision using a score for each candidate word calculated on the basis of fuzzy set theory. In the vowel inference step, a template matching is applied. In the segmentation step, heuristic rules based on the spectrum transition and the wave form are used. In the consonant inference step, each rule has a hierarchical structure and the consonant is defined automatically in the form of a multivalued threshold function from learning data.

Original languageEnglish
Pages (from-to)713-716
Number of pages4
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Publication statusPublished - 1986 Dec 1
Externally publishedYes

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering


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