Blog
About

2
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      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

      Read this article at

      ScienceOpenPublisher
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          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.

          Related collections

          Most cited references 41

          • Record: found
          • Abstract: not found
          • Article: not found

          Functional Data Analysis

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            On the temporal fidelity of nonlinear inverse reconstructions for real-time MRI-the motion challenge

              Bookmark
              • Record: found
              • Abstract: not found
              • Conference Proceedings: not found

              Extraction of tongue contour in real-time magnetic resonance imaging sequences

               D. Zhang,  M. Yang,  J. TAO (2016)
                Bookmark

                Author and article information

                Contributors
                Journal
                1868-6354
                Laboratory Phonology: Journal of the Association for Laboratory Phonology
                Ubiquity Press
                1868-6354
                18 March 2020
                2020
                : 11
                : 1
                Affiliations
                [1 ]Speech, Hearing and Phonetic Sciences, University College London, UK
                [2 ]Institute of Phonetics and Speech Processing, Ludwig Maximilians Universität Munich, DE
                [3 ]Max Planck Institute for Biophysical Chemistry, Göttingen, DE
                [4 ]The MARCS Institute for Brain, Behaviour and Development, Western Sydney University, AU
                Article
                10.5334/labphon.214
                Copyright: © 2020 The Author(s)

                This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See http://creativecommons.org/licenses/by/4.0/.

                Categories
                Journal article

                Comments

                Comment on this article