Psychometric properties associated with perceived vocal roughness using a matching task
Author(s) -
David A. Eddins,
Rahul Shrivastav
Publication year - 2013
Publication title -
the journal of the acoustical society of america
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.619
H-Index - 187
eISSN - 1520-8524
pISSN - 0001-4966
DOI - 10.1121/1.4819183
Subject(s) - psychometric function , computer science , perception , matching (statistics) , stimulus (psychology) , speech recognition , surface finish , acoustics , noise (video) , power function , range (aeronautics) , psychophysics , mathematics , artificial intelligence , statistics , psychology , cognitive psychology , materials science , physics , mathematical analysis , image (mathematics) , neuroscience , composite material
A psychophysical matching paradigm has been used to better quantify voice quality under laboratory conditions. The goals of this study were to establish which of two candidate comparison stimuli would best ensure that the range of perceived vocal roughness could be adequately bracketed using a matching task and to provide a general solution to the problem of estimating vocal roughness. Psychometric functions for roughness matching indicated that a speech-like sawtooth-plus-noise complex (20 dB signal-to-noise ratio) amplitude modulated by a sinusoidal function raised to the 4th power yielded a comparison stimulus with a perceptual dynamic range well suited for roughness matching.
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