Automatic extraction of fundamental frequency control rules by statistical analysis

Toshio Hirai*, Naoto Iwahashi, Norio Higuchi, Yoshinori Sagisaka

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


This paper aims at the improvement of the naturalness of Japanese synthetic speech and proposes a method of extracting automatically the rules for controlling the voice fundamental frequency (written as F0). The proposed method is composed of two steps. (1) The F0 time-series pattern of a sufficient amount of speech data is represented by parameters under Fujisaki's model. (2) The F0 control rule that estimates die parameter values from the language information is extracted by statistical analysis. The proposed method is applied to 200 Japanese sentences read by a speaker, and the relation between the language information and the parameter values is derived by analyzing the obtained F0 control rules. The following properties are identified. (1) The phrase command diminishes when the number of morae in the preceding phrase decreases. (2) The accent component is reduced when the number of morae in the higher-pitched part of the accented phrase is larger. Relation (2) is a refinement of knowledge already obtained by the analysis of a small number of samples. Thus, it is shown that adequate F0 control rules can be extracted automatically by the proposed method.

Original languageEnglish
Pages (from-to)91-100
Number of pages10
JournalSystems and Computers in Japan
Issue number3
Publication statusPublished - 1997 Mar
Externally publishedYes


  • Fujisaki model
  • Speech synthesis
  • Statistical analysis
  • Superpositional fundamental frequency control model
  • Voice fundamental frequency control

ASJC Scopus subject areas

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


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