Morphological and acoustic modeling of the vocal tract.

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Title: Morphological and acoustic modeling of the vocal tract.
Authors: Serrurier, Antoine1 (AUTHOR) aserrurier@ukaachen.de, Neuschaefer-Rube, Christiane1 (AUTHOR)
Source: Journal of the Acoustical Society of America. Mar2023, Vol. 153 Issue 3, p1867-1886. 20p.
Subjects: Vocal tract, Acoustic models, Automatic speech recognition, Acoustic wave propagation, Magnetic resonance imaging, Plane wavefronts
Abstract: In speech production, the anatomical morphology forms the substrate on which the speakers build their articulatory strategy to reach specific articulatory-acoustic goals. The aim of this study is to characterize morphological inter-speaker variability by building a shape model of the full vocal tract including hard and soft structures. Static magnetic resonance imaging data from 41 speakers articulating altogether 1947 phonemes were considered, and the midsagittal articulator contours were manually outlined. A phoneme-independent average-articulation representative of morphology was calculated as the speaker mean articulation. A principal component analysis-driven shape model was derived from average-articulations, leading to five morphological components, which explained 87% of the variance. Almost three-quarters of the variance was related to independent variations of the horizontal oral and vertical pharyngeal lengths, the latter capturing male-female differences. The three additional components captured shape variations related to head tilt and palate shape. Plane wave propagation acoustic simulations were run to characterize morphological components. A lengthening of 1 cm of the vocal tract in the vertical or horizontal directions led to a decrease in formant values of 7%–8%. Further analyses are required to analyze three-dimensional variability and to understand the morphological-acoustic relationships per phoneme. Average-articulations and model code are publicly available (https://github.com/tonioser/VTMorphologicalModel). [ABSTRACT FROM AUTHOR]
Copyright of Journal of the Acoustical Society of America is the property of American Institute of Physics and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Morphological and acoustic modeling of the vocal tract.
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  Data: <searchLink fieldCode="AR" term="%22Serrurier%2C+Antoine%22">Serrurier, Antoine</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> aserrurier@ukaachen.de</i><br /><searchLink fieldCode="AR" term="%22Neuschaefer-Rube%2C+Christiane%22">Neuschaefer-Rube, Christiane</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+the+Acoustical+Society+of+America%22">Journal of the Acoustical Society of America</searchLink>. Mar2023, Vol. 153 Issue 3, p1867-1886. 20p.
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  Data: <searchLink fieldCode="DE" term="%22Vocal+tract%22">Vocal tract</searchLink><br /><searchLink fieldCode="DE" term="%22Acoustic+models%22">Acoustic models</searchLink><br /><searchLink fieldCode="DE" term="%22Automatic+speech+recognition%22">Automatic speech recognition</searchLink><br /><searchLink fieldCode="DE" term="%22Acoustic+wave+propagation%22">Acoustic wave propagation</searchLink><br /><searchLink fieldCode="DE" term="%22Magnetic+resonance+imaging%22">Magnetic resonance imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Plane+wavefronts%22">Plane wavefronts</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: In speech production, the anatomical morphology forms the substrate on which the speakers build their articulatory strategy to reach specific articulatory-acoustic goals. The aim of this study is to characterize morphological inter-speaker variability by building a shape model of the full vocal tract including hard and soft structures. Static magnetic resonance imaging data from 41 speakers articulating altogether 1947 phonemes were considered, and the midsagittal articulator contours were manually outlined. A phoneme-independent average-articulation representative of morphology was calculated as the speaker mean articulation. A principal component analysis-driven shape model was derived from average-articulations, leading to five morphological components, which explained 87% of the variance. Almost three-quarters of the variance was related to independent variations of the horizontal oral and vertical pharyngeal lengths, the latter capturing male-female differences. The three additional components captured shape variations related to head tilt and palate shape. Plane wave propagation acoustic simulations were run to characterize morphological components. A lengthening of 1 cm of the vocal tract in the vertical or horizontal directions led to a decrease in formant values of 7%–8%. Further analyses are required to analyze three-dimensional variability and to understand the morphological-acoustic relationships per phoneme. Average-articulations and model code are publicly available (https://github.com/tonioser/VTMorphologicalModel). [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of the Acoustical Society of America is the property of American Institute of Physics and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1121/10.0017356
    Languages:
      – Code: eng
        Text: English
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      Pagination:
        PageCount: 20
        StartPage: 1867
    Subjects:
      – SubjectFull: Vocal tract
        Type: general
      – SubjectFull: Acoustic models
        Type: general
      – SubjectFull: Automatic speech recognition
        Type: general
      – SubjectFull: Acoustic wave propagation
        Type: general
      – SubjectFull: Magnetic resonance imaging
        Type: general
      – SubjectFull: Plane wavefronts
        Type: general
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      – TitleFull: Morphological and acoustic modeling of the vocal tract.
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            NameFull: Serrurier, Antoine
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            NameFull: Neuschaefer-Rube, Christiane
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            – D: 01
              M: 03
              Text: Mar2023
              Type: published
              Y: 2023
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              Value: 153
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            – TitleFull: Journal of the Acoustical Society of America
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