WORD IDENTIFICATION METHOD FOR JAPANESE TEXT-TO-SPEECH CONVERSION SYSTEM.

Yoshinori Sagisaka, Hirokazu Sato

Research output: Contribution to journalConference article

Abstract

A word identification method is proposed for Japanese text-to-speech conversion. The number of identification trials is reduced by restricting the identification to short intervals using a dynamic programming technique. Plausibility evaluation that reflects several Japanese text writing characteristics is introduced. Results show the usefulness of this identification method as well as the necessity of dictionary enrichment and of advanced intensive analyses. These advanced analyses are not only required in word identification itself but in the further text analyses needed for the generation of phonetic and prosodic information.

Original languageEnglish
Pages (from-to)2411-2414
Number of pages4
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Publication statusPublished - 1986 Dec 1

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ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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