Literature DB >> 21428517

An anatomically based, time-domain acoustic model of the subglottal system for speech production.

Julio C Ho1, Matías Zañartu, George R Wodicka.   

Abstract

A time-domain model of sound wave propagation in the branching airways of the subglottal system is presented. The model is formulated as an extension to an acoustic transmission-line modeling scheme originally developed for simulating the supraglottal system in the time-domain during speech production [Maeda (1982). Speech Commun. 1, 199-229; Mokhtari et al. (2008). Speech Commun. 50, 179-190]. The approach allows for predictions of time-varying acoustic pressure and volume velocity at any point along the various generations of subglottal airways from trachea to alveoli. In addition, the model can be configured so that its overall structure simulates different geometric forms, including airways that branch in a symmetric or asymmetric pattern. Three subglottal configurations, two symmetric and one asymmetric, were represented based on reported anatomical dimensions of the subglottal airways. Estimates of the acoustic input impedances of these subglottal configurations revealed resonant characteristics similar to those found in the previous studies. Simulations of voiced sound propagation into the subglottal airways, achieved by coupling the subglottal model to a two-mass vocal fold model and a supraglottal tract configured for different vowels, yielded predictions of time-domain sound pressure waveforms below the vocal folds that compare favorably to previous measurements in human subjects.
© 2011 Acoustical Society of America

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Year:  2011        PMID: 21428517     DOI: 10.1121/1.3543971

Source DB:  PubMed          Journal:  J Acoust Soc Am        ISSN: 0001-4966            Impact factor:   1.840


  5 in total

1.  Mobile voice health monitoring using a wearable accelerometer sensor and a smartphone platform.

Authors:  Daryush D Mehta; Matías Zañartu; Shengran W Feng; Harold A Cheyne; Robert E Hillman
Journal:  IEEE Trans Biomed Eng       Date:  2012-08-02       Impact factor: 4.538

2.  Subglottal Impedance-Based Inverse Filtering of Voiced Sounds Using Neck Surface Acceleration.

Authors:  Matías Zañartu; Julio C Ho; Daryush D Mehta; Robert E Hillman; George R Wodicka
Journal:  IEEE Trans Audio Speech Lang Process       Date:  2013-09

3.  Formant measurement in children's speech based on spectral filtering.

Authors:  Brad H Story; Kate Bunton
Journal:  Speech Commun       Date:  2015       Impact factor: 2.017

4.  Vocal fold dynamics in a synthetic self-oscillating model: Intraglottal aerodynamic pressure and energy.

Authors:  Mohsen Motie-Shirazi; Matías Zañartu; Sean D Peterson; Byron D Erath
Journal:  J Acoust Soc Am       Date:  2021-08       Impact factor: 2.482

5.  Ambulatory assessment of phonotraumatic vocal hyperfunction using glottal airflow measures estimated from neck-surface acceleration.

Authors:  Juan P Cortés; Víctor M Espinoza; Marzyeh Ghassemi; Daryush D Mehta; Jarrad H Van Stan; Robert E Hillman; John V Guttag; Matías Zañartu
Journal:  PLoS One       Date:  2018-12-20       Impact factor: 3.240

  5 in total

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