Optimization of intonation control using statistical F0 resetting characteristics

Yoshinori Sagisaka, Nobuyoshi Kaiki

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

10 Citations (Scopus)

Abstract

F0 resetting characteristics were analyzed statistically in relation to local phrase dependency structure. Analyses showed that the parameters reflecting the local phrase structure and coordinate phrase relation could explain F0 resetting characteristics quantitatively. An F0 prediction experiment was carried out using four models corresponding to four different types of local structure. The F0 prediction results showed that the total prediction error was reduced 20% (about 0.5 semitone) by the differentiation of local phrase structure and the distinction between coordinate and noncoordinate phrase boundaries.

Original languageEnglish
Title of host publicationICASSP 1992 - 1992 International Conference on Acoustics, Speech, and Signal Processing
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages49-52
Number of pages4
Volume2
ISBN (Electronic)0780305329
DOIs
Publication statusPublished - 1992
Externally publishedYes
Event1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1992 - San Francisco, United States
Duration: 1992 Mar 231992 Mar 26

Other

Other1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1992
Country/TerritoryUnited States
CitySan Francisco
Period92/3/2392/3/26

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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