Literature DB >> 8370875

Individual differences in vowel production.

K Johnson1, P Ladefoged, M Lindau.   

Abstract

It is often assumed that a relatively small set of articulatory features are universally used in language sound systems. This paper presents a study which tests this assumption. The data are x-ray microbeam pellet trajectories during the production of the vowels of American English by five speakers. Speakers were consistent with themselves from one production of a word to the next, but the articulatory patterns manifested by this homogeneous group were speaker specific. Striking individual differences were found in speaking rate, the production of the tense/lax distinction of English, and in global patterns of articulation. In terms of a task-dynamic model of speech production, these differences suggested that the speakers used different gestural target and stiffness values, and employed different patterns of interarticulator coordination to produce the vowels of American English. The data thus suggest that, at some level of speech motor control, speech production tasks are specified in terms of acoustic output rather than spatiotemporal targets or gestures.

Mesh:

Year:  1993        PMID: 8370875     DOI: 10.1121/1.406887

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


  16 in total

1.  Time dependence of vocal tract modes during production of vowels and vowel sequences.

Authors:  Brad H Story
Journal:  J Acoust Soc Am       Date:  2007-06       Impact factor: 1.840

2.  A comparison of vocal tract perturbation patterns based on statistical and acoustic considerations.

Authors:  Brad H Story
Journal:  J Acoust Soc Am       Date:  2007-10       Impact factor: 1.840

3.  Speech production variability in fricatives of children and adults: results of functional data analysis.

Authors:  Laura L Koenig; Jorge C Lucero; Elizabeth Perlman
Journal:  J Acoust Soc Am       Date:  2008-11       Impact factor: 1.840

4.  Perception of speech reflects optimal use of probabilistic speech cues.

Authors:  Meghan Clayards; Michael K Tanenhaus; Richard N Aslin; Robert A Jacobs
Journal:  Cognition       Date:  2008-06-25

5.  Human Sensorimotor Cortex Control of Directly Measured Vocal Tract Movements during Vowel Production.

Authors:  David F Conant; Kristofer E Bouchard; Matthew K Leonard; Edward F Chang
Journal:  J Neurosci       Date:  2018-02-08       Impact factor: 6.167

6.  The effect of talker and intonation variability on speech perception in noise in children with dyslexia.

Authors:  Valerie Hazan; Souhila Messaoud-Galusi; Stuart Rosen
Journal:  J Speech Lang Hear Res       Date:  2012-07-03       Impact factor: 2.297

7.  Variability of articulator positions and formants across nine English vowels.

Authors:  D H Whalen; Wei-Rong Chen; Mark K Tiede; Hosung Nam
Journal:  J Phon       Date:  2018-02-23

8.  Speaker-Independent Silent Speech Recognition from Flesh-Point Articulatory Movements Using an LSTM Neural Network.

Authors:  Myungjong Kim; Beiming Cao; Ted Mau; Jun Wang
Journal:  IEEE/ACM Trans Audio Speech Lang Process       Date:  2017-11-23

9.  Variability in English vowels is comparable in articulation and acoustics.

Authors:  Aude Noiray; Khalil Iskarous; D H Whalen
Journal:  Lab Phonol       Date:  2014-05-01

10.  Perception of Multisensory Gender Coherence in 6- and 9-month-old Infants.

Authors:  Anne Hillairet de Boisferon; Eve Dupierrix; Paul C Quinn; Hélène Lœvenbruck; David J Lewkowicz; Kang Lee; Olivier Pascalis
Journal:  Infancy       Date:  2015-06-05
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