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Visualisation of hypopharyngeal cavities and vocal-tract acoustic modelling

Author

Listed:
  • Kiyoshi Honda
  • Tatsuya Kitamura
  • Hironori Takemoto
  • Seiji Adachi
  • Parham Mokhtari
  • Sayoko Takano
  • Yukiko Nota
  • Hiroyuki Hirata
  • Ichiro Fujimoto
  • Yasuhiro Shimada
  • Shinobu Masaki
  • Satoru Fujita
  • Jianwu Dang

Abstract

The hypopharyngeal cavities consist of the laryngeal cavity and bilateral piriform fossa, constituting the bottom part of the vocal tract near the larynx. Visualisation of these cavities with magnetic resonance imaging (MRI) techniques reveals that during speech, the laryngeal cavity takes the form of a long-neck flask and the piriform fossa takes the form of a goblet of varying shapes: the former diminishes greatly in whispering and the latter disappears during deep inhalation. These cavities have been shown to exert significant acoustic effects at higher frequency spectra. In this study, acoustic experiments were conducted for male and female mechanical vocal tracts with the results that acoustic effects of those cavities determine the frequency spectra above 2 kHz, giving rise to peaks and zeros. An acoustic model of vowel production was proposed with three components: voice source, hypopharyngeal cavities and vocal tract proper, which provides effective means in controlling voice quality and expressing individual vocal characteristics.

Suggested Citation

  • Kiyoshi Honda & Tatsuya Kitamura & Hironori Takemoto & Seiji Adachi & Parham Mokhtari & Sayoko Takano & Yukiko Nota & Hiroyuki Hirata & Ichiro Fujimoto & Yasuhiro Shimada & Shinobu Masaki & Satoru Fuj, 2010. "Visualisation of hypopharyngeal cavities and vocal-tract acoustic modelling," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 13(4), pages 443-453.
    • Handle: RePEc:taf:gcmbxx:v:13:y:2010:i:4:p:443-453
    DOI: 10.1080/10255842.2010.490528
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    Cited by:

    1. Bertrand Delvaux & David Howard, 2014. "A New Method to Explore the Spectral Impact of the Piriform Fossae on the Singing Voice: Benchmarking Using MRI-Based 3D-Printed Vocal Tracts," PLOS ONE, Public Library of Science, vol. 9(7), pages 1-15, July.
    2. Mario Fleischer & Alexander Mainka & Steffen Kürbis & Peter Birkholz, 2018. "How to precisely measure the volume velocity transfer function of physical vocal tract models by external excitation," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-16, March.

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