Improvement of accent sandhi rules based on Japanese accent dictionaries

Hiroto Aoyama, Takashi Nose, Yuya Chiba, Akinori Ito

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In order to synthesize more natural speech with Japanese text-to-speech systems, we improve accent sandhi rules. The conventional Japanese accent sandhi rules lack rules related to numerals and counter words in conventional rules. In this paper, we comprehensively improved the accent sandhi rules as well as those related to numerals and counter words, concerning accent rules related to word combinations described in the Japanese accent dictionaries. Then, accent estimation experiments were conducted using the conventional and improved rules to evaluate the accuracy of the estimation by the two types of rules. The effectiveness and problems of the accent sandhi rules themselves and improved rules were discussed by analyzing the experimental results.

Original languageEnglish
Title of host publicationRecent Advances in Intelligent Information Hiding and Multimedia Signal Processing - Proceeding of the Fourteenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing
EditorsLakhmi C. Jain, Lakhmi C. Jain, Pei-Wei Tsai, Akinori Ito, Jeng-Shyang Pan, Lakhmi C. Jain
PublisherSpringer Science and Business Media Deutschland GmbH
Pages140-148
Number of pages9
ISBN (Print)9783030037475
DOIs
Publication statusPublished - 2019 Jan 1
Event14th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2018 - Sendai, Japan
Duration: 2018 Nov 262018 Nov 28

Publication series

NameSmart Innovation, Systems and Technologies
Volume110
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Other

Other14th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2018
CountryJapan
CitySendai
Period18/11/2618/11/28

Keywords

  • Accent dictionary
  • Accent sandhi rules
  • Counter words
  • Numerals
  • Text-to-speech

ASJC Scopus subject areas

  • Decision Sciences(all)
  • Computer Science(all)

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