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Analyzing speech in both time and space: Generalized additive mixed models can uncover systematic patterns of variation in vocal tract shape in real-time MRI
In: Laboratory Phonology: Journal of the Association for Laboratory Phonology; Vol 11, No 1 (2020); 2 ; 1868-6354 (2020)
Abstract: We present a method of using generalized additive mixed models (GAMMs) to analyze midsagittal vocal tract data obtained from real-time magnetic resonance imaging (rt-MRI) video of speech production. Applied to rt-MRI data, GAMMs allow for observation of factor effects on vocal tract shape throughout two key dimensions: time (vocal tract change over the temporal course of a speech segment) and space (location of change within the vocal tract). Examples of this method are provided for rt-MRI data collected at a temporal resolution of 20 ms and a spatial resolution of 1.41 mm, for 36 native speakers of German. The rt-MRI data were quantified as 28-point semi-polar-grid aperture functions. Three test cases are provided as a way of observing vocal tract differences between: (1) /aː/ and /iː/, (2) /aː/ and /aɪ/, and (3) accentuated and unstressed /aː/. The results for each GAMM are independently validated using functional linear mixed models (FLMMs) constructed from data obtained at 20% and 80% of the vowel interval. In each case, the two methods yield similar results. In light of the method similarities, we propose that GAMMs are a robust, powerful, and interpretable method of simultaneously analyzing both temporal and spatial effects in rt-MRI video of speech.
Keyword: Articulatory Phonetics; FLMM; GAMM; real-time MRI; speech dynamics; speech imaging
URL: https://www.journal-labphon.org/jms/article/view/214
https://doi.org/10.5334/labphon.214
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Analyzing speech in both time and space : generalized additive mixed models can uncover systematic patterns of variation in vocal tract shape in real-time MRI
Carignan, Christopher (R18263); Hoole, Phil; Kunay, Esther. - : U.K., Ubiquity Press, 2020
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Steps of phonological vowel nasality: Evidence from real-time MRI velum movement in German ...
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