Modeling speaker variation in cues to prominence using the Bayesian information criterion

Tim Mahrt, Jennifer Cole, Margaret Fleck, Mark Hasegawa-Johnson

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

Abstract

This study investigated speaker variation in the production of various acoustic cues of prominence, including duration and intensity measures. The Bayesian Information Criterion was used to specify a threshold distinction between cues that are linearly vs. piece-wise linearly predictors of the degree of perceived prominence. For all speakers, some features are linear and some features are discrete in the manner in which they cue prominence. However, the results also suggest that speakers differ in the number of prominence distinctions that they make. Under a metrical stress notion of hierarchically layered prominence, our result would suggest that some speakers do not exploit the full range of prominence distinctions offered in English.

Original languageEnglish (US)
Title of host publicationProceedings of the 6th International Conference on Speech Prosody, SP 2012
PublisherTongji University Press
Pages322-325
Number of pages4
ISBN (Print)9787560848693
StatePublished - 2012
Event6th International Conference on Speech Prosody 2012, SP 2012 - Shanghai, China
Duration: May 22 2012May 25 2012

Publication series

NameProceedings of the 6th International Conference on Speech Prosody, SP 2012
Volume1

Other

Other6th International Conference on Speech Prosody 2012, SP 2012
Country/TerritoryChina
CityShanghai
Period5/22/125/25/12

Keywords

  • Bayesian information criterion
  • Corpus linguistics
  • Prominence
  • Speaker variation
  • Speech prosody

ASJC Scopus subject areas

  • Language and Linguistics
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Software
  • Mechanical Engineering

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