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Article
Fluency profiling system: an automated system for analyzing the temporal properties of speech
Behavior Research Methods (2013)
  • Raoul Oehmen, The University of Notre Dame Australia
  • Daniel Little, The University of Melbourne
  • John Dunn, University of Adelaide
  • Kathryn Hird, The University of Notre Dame Australia
  • Kim Kirsner, The University of Notre Dame Australia
Abstract
...This article describes
a fully automated system for determining the locations of
speech–pause transitions and estimating the temporal
parameters of both speech and pause distributions in natural
speech. We use the properties of Gaussian mixture models at
several stages of the analysis, in order to identify theoretical
components of the data distributions, to classify speech
components, to compute durations, and to calculate the
relevant statistics.
Publication Date
2013
DOI
10.3758/s13428-012-0222-0
Citation Information
Raoul Oehmen, Daniel Little, John Dunn, Kathryn Hird, et al.. "Fluency profiling system: an automated system for analyzing the temporal properties of speech" Behavior Research Methods Vol. 45 Iss. 1 (2013) p. 191 - 202
Available at: http://works.bepress.com/raoul-oehmen/1/