Literature DB >> 7759651

Locus equations derived from compensatory articulation.

H M Sussman1, D Fruchter, A Cable.   

Abstract

Locus equations are linear regressions of the onset of F2 transitions on their offsets. These functions vowel-normalize the F2 transitions such that they are able to characterize consonantal place categories. The purpose of this research was to determine if compensatory articulation due to bite blocks would alter the normally linear relationship between F2 transition onset and offset frequencies or alter the differential slopes and y intercepts of locus equations as a function of stop place. Six speakers, three male and three female, each produced /bVt/, /dVt/, and /gVt/ tokens for ten vowel contexts under normal and bite block conditions. Extremely linear and practically identical scatterplots were obtained in the two speaking conditions. No adaptation to the bite blocks was found when comparing locus equations derived from the initial versus the final bite block trial. Results are discussed in relation to the "orderly output constraint," which postulates a perceptual function for linearly related F2 transition end points within consonantal place categories.

Mesh:

Year:  1995        PMID: 7759651     DOI: 10.1121/1.411873

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


  3 in total

1.  Perception of Place of Articulation for Plosives and Fricatives in Noise.

Authors:  Abeer Alwan; Jintao Jiang; Willa Chen
Journal:  Speech Commun       Date:  2011-02-01       Impact factor: 2.017

2.  Locus equations as phonetic descriptors of consonantal place of articulation.

Authors:  H M Sussman; J Shore
Journal:  Percept Psychophys       Date:  1996-08

3.  Mapping typical and hypokinetic dysarthric speech production network using a connected speech paradigm in functional MRI.

Authors:  Shalini Narayana; Megan B Parsons; Wei Zhang; Crystal Franklin; Katherine Schiller; Asim F Choudhri; Peter T Fox; Mark S LeDoux; Michael Cannito
Journal:  Neuroimage Clin       Date:  2020-06-01       Impact factor: 4.881

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.