Articulatory mechanisms underlying onset-vowel organization

Pastätter, Manfred; Pouplier, Marianne

doi:10.1016/j.wocn.2017.03.005

Cited by 15 publications

(7 citation statements)

References 39 publications

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“…The authors of these papers either analyzed formant measurements at pre-selected time points (Hualde et al, 2017;Yang & Fox, 2017), average formant measurements (Hay et al, 2017;Hübscher et al, 2017), or simplified descriptions of formant contours (Ots, 2017;Rao et al, 2017). Another type of dynamic data, articulatory measurements (analyzed at the vowel midpoint), was analyzed by Pastätter and Pouplier (2017).…”

Section: Introductionmentioning

confidence: 99%

Analyzing dynamic phonetic data using generalized additive mixed modeling: A tutorial focusing on articulatory differences between L1 and L2 speakers of English

Wieling

2018

Journal of Phonetics

250

189

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Section: Introductionmentioning

confidence: 99%

Analyzing dynamic phonetic data using generalized additive mixed modeling: A tutorial focusing on articulatory differences between L1 and L2 speakers of English

Wieling

2018

Journal of Phonetics

250

189

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“…However, there are of course other cases in which the timing of gestures varies systematically across contexts, with differences possibly conditioned by the magnitude of movements (e.g. Brunner et al 2014) or coarticulatory resistance (Pastätter & Pouplier 2017).…”

Section: Past Results On English and Russian Timingmentioning

confidence: 99%

Articulatory coordination distinguishes complex segments from segment sequences

Shaw

Durvasula

et al. 2021

Phonology

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Phonological patterning motivates a distinction between complex segments and segment sequences, although it has also been suggested that there might be reliable phonetic differences. We develop the hypothesis that, in addition to their distinct phonological patterning, complex segments differ from segment sequences in how constituent articulatory gestures are coordinated in time. Through computational simulation, we illustrate predictions that follow from hypothesised coordination differences, showing as well how coordination is conceptually independent of temporal duration. We test predictions with kinematic data collected using electromagnetic articulography. Electromagnetic articulography data comparing labial-palatal gestures in Russian, which we argue on the basis of phonological facts to constitute complex segments, and similar labial-palatal gestures in English, which we argue constitute segment sequences, show distinct patterns of coordination, providing robust support for our main hypothesis. At least in this case, gestural coordination conditions patterns of kinematic variation that clearly distinguish complex segments from segment sequences.

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“…For our study we used available electromagnetic articulography (EMA, AG501) data from five speakers of Polish (for details see [17]). The recordings contained several repetitions of the target words kim and kap, pronounced in a constant carrier phrase.…”

Section: Methodsmentioning

confidence: 99%

Zooming in on Spatiotemporal V-to-C Coarticulation with Functional PCA

Gubian

Pastätter²,

Pouplier

2019

Interspeech 2019

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It has long been proposed in speech production research that in CV sequences, the movement for consonant and vowel are initiated synchronously. However, mostly due to limitations on the statistical analysis of articulator motion over time, this could only be shown in a limited fashion, based on positional differences at a single time point during consonantal constriction formation. It is unknown to which extent this observation generalizes to earlier timepoints. In this paper, we illustrate the use of functional principal component analysis (FPCA) for the statistical analysis of articulator motion over time. Using articulography data, we quantify CV coarticulation during constriction formation of [k] in two vowel contexts. We show how FPCA enables us to analyse both horizontal and vertical movement components over time in a single model while preserving information on temporal variability. We combine FPCA with linear mixed modelling to obtain estimated mean trajectories and confidence bands for [k] in the two vowel contexts. Results show that well before the timepoint of peak velocity the vowel causes a substantial spatial separation of the consonantal trajectories, estimated to be at least 3 mm at peak velocity. This lends support to the hypothesis that vowel and consonant are initiated synchronously.

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Articulatory mechanisms underlying onset-vowel organization

Cited by 15 publications

References 39 publications

Analyzing dynamic phonetic data using generalized additive mixed modeling: A tutorial focusing on articulatory differences between L1 and L2 speakers of English

Analyzing dynamic phonetic data using generalized additive mixed modeling: A tutorial focusing on articulatory differences between L1 and L2 speakers of English

Articulatory coordination distinguishes complex segments from segment sequences

Zooming in on Spatiotemporal V-to-C Coarticulation with Functional PCA

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