Performance prediction of word recognition using the transition information between phonemes or between characters

Takashi Otsuki, Shozo Makino, Akinori Ito, Toshio Sone

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

This paper considers word recognition based on the existence of the transition between phonemes and characters with complete segmentation between phonemes and characters. A method is proposed which estimates theoretically the relation between the phoneme/character recognition score and the word recognition score. The word recognition score can be estimated by the evaluation formula based on the number of short‐distance words in the dictionary for the case where the word dictionary is used. The traditional evaluation formula for the word recognition score, however, has a problem in that the accuracy of estimation is deteriorated rapidly with the decrease of the phoneme/character recognition score and the increase of the short‐distance words. From such a viewpoint, this paper proposes a new evaluation formula with a higher estimation accuracy. In this paper, the sequence that can be generated based on the transition information is used as the item in the word dictionary. Then the number of items increases exponentially with the length, making it difficult to estimate the number of short‐distance words. For this problem, this paper proposes an algorithm that calculates the number of short‐distance words in a polynomial time. For approximately 5000 important words in Japanese, the estimated word recognition score for the phoneme recognition score of 90 percent is given approximately 72 percent by the proposed method and approximately 66 percent by the traditional method. It is approximately 78 percent by simulation. Thus, it is shown that the proposed method gives a better approximation than the traditional method.

Original languageEnglish
Pages (from-to)72-81
Number of pages10
JournalSystems and Computers in Japan
Volume25
Issue number7
DOIs
Publication statusPublished - 1994

Keywords

  • Phoneme recognition
  • character recognition
  • prediction of word recognition score
  • transition information
  • word recognition

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Information Systems
  • Hardware and Architecture
  • Computational Theory and Mathematics

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