Speaker's intentions conveyed to listeners by sentence-final particles and their intonations in Japanese conversational speech

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

Abstract

We investigated listeners' perception of speaker's intention depending on sentence-final particles and their intonations in Japanese conversational speech in order to build a speech synthesis system that can express different intentions and subtle nuances. First, we clustered F0 contours derived from approximately 2000 sentence-final syllables and found the sentence-final F0 contours varied a great deal. Next, we selected six distinctive F0 contours that gave perceptually different intonations from among the cluster centroids, and subjectively evaluated synthesized sentence utterances that had various sentence-final particles and their intonations. Results showed that suitable combinations of a sentence-final particle and its intonation should be used to precisely convey the intention to the listeners, and whether the sentence was positive or negative also affected the listeners' perception of the intention.

Original languageEnglish
Title of host publication2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings
Pages6895-6899
Number of pages5
DOIs
Publication statusPublished - 2013 Oct 18
Event2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Vancouver, BC, Canada
Duration: 2013 May 262013 May 31

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Conference

Conference2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013
Country/TerritoryCanada
CityVancouver, BC
Period13/5/2613/5/31

Keywords

  • conversational speech
  • sentence-final intonation
  • sentence-final particle
  • speaker's intention
  • speech synthesis

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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