Literature DB >> 30180689

Quantifying robustness of the /t/-/k/ contrast using a single, static spectral feature.

Allison A Johnson1, Patrick F Reidy2, Jan R Edwards3.   

Abstract

Dynamic spectral shape features accurately classify /t/ and /k/ productions across speakers and contexts. This paper shows that word-initial /t/ and /k/ tokens produced by 21 adults can be differentiated using a single, static spectral feature when spectral energy concentration is considered relative to expectations within a given speaker and vowel context. Centroid and peak frequency-calculated from both acoustic and psychoacoustic spectra-were compared to determine whether one feature could reliably differentiate /t/ and /k/, and, if so, which feature best differentiated them. Centroid frequency from both acoustic and psychoacoustic spectra accurately classified productions of /t/ and /k/.

Mesh:

Year:  2018        PMID: 30180689      PMCID: PMC6086688          DOI: 10.1121/1.5049702

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  12 in total

1.  Production of contrast between sibilant fricatives by children with cochlear implants.

Authors:  Ann E Todd; Jan R Edwards; Ruth Y Litovsky
Journal:  J Acoust Soc Am       Date:  2011-12       Impact factor: 1.840

2.  Derivation of auditory filter shapes from notched-noise data.

Authors:  B R Glasberg; B C Moore
Journal:  Hear Res       Date:  1990-08-01       Impact factor: 3.208

3.  Spectral dynamics of sibilant fricatives are contrastive and language specific.

Authors:  Patrick F Reidy
Journal:  J Acoust Soc Am       Date:  2016-10       Impact factor: 1.840

4.  Statistical analysis of word-initial voiceless obstruents: preliminary data.

Authors:  K Forrest; G Weismer; P Milenkovic; R N Dougall
Journal:  J Acoust Soc Am       Date:  1988-07       Impact factor: 1.840

5.  Acoustic invariance in speech production: evidence from measurements of the spectral characteristics of stop consonants.

Authors:  S E Blumstein; K N Stevens
Journal:  J Acoust Soc Am       Date:  1979-10       Impact factor: 1.840

6.  Linear mixed-effects models and the analysis of nonindependent data: A unified framework to analyze categorical and continuous independent variables that vary within-subjects and/or within-items.

Authors:  Markus Brauer; John J Curtin
Journal:  Psychol Methods       Date:  2017-11-27

7.  Time-varying features as correlates of place of articulation in stop consonants.

Authors:  D Kewley-Port
Journal:  J Acoust Soc Am       Date:  1983-01       Impact factor: 1.840

8.  Invariant cues for place of articulation in stop consonants.

Authors:  K N Stevens; S E Blumstein
Journal:  J Acoust Soc Am       Date:  1978-11       Impact factor: 1.840

9.  What information is necessary for speech categorization? Harnessing variability in the speech signal by integrating cues computed relative to expectations.

Authors:  Bob McMurray; Allard Jongman
Journal:  Psychol Rev       Date:  2011-04       Impact factor: 8.934

10.  Quantifying the Robustness of the English Sibilant Fricative Contrast in Children.

Authors:  Jeffrey J Holliday; Patrick F Reidy; Mary E Beckman; Jan Edwards
Journal:  J Speech Lang Hear Res       Date:  2015-06       Impact factor: 2.297

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  1 in total

1.  Effects of Device Limitations on Acquisition of the /t/-/k/ Contrast in Children With Cochlear Implants.

Authors:  Allison A Johnson; Danielle M Bentley; Benjamin Munson; Jan Edwards
Journal:  Ear Hear       Date:  2022 Mar/Apr       Impact factor: 3.562

  1 in total

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