Literature DB >> 27586776

Experimental validation of a three-dimensional reduced-order continuum model of phonation.

Mehrdad H Farahani1, Zhaoyan Zhang1.   

Abstract

Due to the complex nature of the phonation process, a one-dimensional (1D) glottal flow description is often used in current phonation models. Although widely used in voice research, these 1D flow-based phonation models have not been rigorously validated against experiments. In this study, a 1D glottal flow model is coupled with a three-dimensional nonlinear continuum model of the vocal fold and its predictions are compared to physical model experiments. The results show that the 1D flow-based model is able to predict the phonation threshold pressure and onset frequency within reasonable accuracy and to reproduce major vibratory features observed in the experiments.

Mesh:

Year:  2016        PMID: 27586776      PMCID: PMC5384606          DOI: 10.1121/1.4959965

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


  10 in total

1.  Phonation threshold pressure and onset frequency in a two-layer physical model of the vocal folds.

Authors:  Abie H Mendelsohn; Zhaoyan Zhang
Journal:  J Acoust Soc Am       Date:  2011-11       Impact factor: 1.840

2.  On the acoustical relevance of supraglottal flow structures to low-frequency voice production.

Authors:  Zhaoyan Zhang; Juergen Neubauer
Journal:  J Acoust Soc Am       Date:  2010-12       Impact factor: 1.840

3.  An in vitro setup to test the relevance and the accuracy of low-order vocal folds models.

Authors:  Nicolas Ruty; Xavier Pelorson; Annemie Van Hirtum; Ines Lopez-Arteaga; Avraham Hirschberg
Journal:  J Acoust Soc Am       Date:  2007-01       Impact factor: 1.840

4.  Phonation threshold pressure: comparison of calculations and measurements taken with physical models of the vocal fold mucosa.

Authors:  Lewis P Fulcher; Ronald C Scherer
Journal:  J Acoust Soc Am       Date:  2011-09       Impact factor: 1.840

5.  Cause-effect relationship between vocal fold physiology and voice production in a three-dimensional phonation model.

Authors:  Zhaoyan Zhang
Journal:  J Acoust Soc Am       Date:  2016-04       Impact factor: 1.840

6.  Vibratory responses of synthetic, self-oscillating vocal fold models.

Authors:  Preston R Murray; Scott L Thomson
Journal:  J Acoust Soc Am       Date:  2012-11       Impact factor: 1.840

7.  Asymmetric vibration in a two-layer vocal fold model with left-right stiffness asymmetry: experiment and simulation.

Authors:  Zhaoyan Zhang; Trung Hieu Luu
Journal:  J Acoust Soc Am       Date:  2012-09       Impact factor: 1.840

8.  A theoretical study of the effects of various laryngeal configurations on the acoustics of phonation.

Authors:  I R Titze; D T Talkin
Journal:  J Acoust Soc Am       Date:  1979-07       Impact factor: 1.840

9.  Aerodynamically and acoustically driven modes of vibration in a physical model of the vocal folds.

Authors:  Zhaoyan Zhang; Juergen Neubauer; David A Berry
Journal:  J Acoust Soc Am       Date:  2006-11       Impact factor: 1.840

10.  Influence of embedded fibers and an epithelium layer on the glottal closure pattern in a physical vocal fold model.

Authors:  Yue Xuan; Zhaoyan Zhang
Journal:  J Speech Lang Hear Res       Date:  2014-04-01       Impact factor: 2.297

  10 in total
  11 in total

1.  Vocal fold contact pressure in a three-dimensional body-cover phonation model.

Authors:  Zhaoyan Zhang
Journal:  J Acoust Soc Am       Date:  2019-07       Impact factor: 1.840

2.  Vocal instabilities in a three-dimensional body-cover phonation model.

Authors:  Zhaoyan Zhang
Journal:  J Acoust Soc Am       Date:  2018-09       Impact factor: 1.840

3.  Laryngeal strategies to minimize vocal fold contact pressure and their effect on voice production.

Authors:  Zhaoyan Zhang
Journal:  J Acoust Soc Am       Date:  2020-08       Impact factor: 1.840

4.  Effect of vocal fold stiffness on voice production in a three-dimensional body-cover phonation model.

Authors:  Zhaoyan Zhang
Journal:  J Acoust Soc Am       Date:  2017-10       Impact factor: 1.840

5.  Voice production in a MRI-based subject-specific vocal fold model with parametrically controlled medial surface shape.

Authors:  Liang Wu; Zhaoyan Zhang
Journal:  J Acoust Soc Am       Date:  2019-12       Impact factor: 1.840

6.  TOWARD REAL-TIME PHYSICALLY-BASED VOICE SIMULATION: AN EIGENMODE-BASED APPROACH.

Authors:  Zhaoyan Zhang
Journal:  Proc Meet Acoust       Date:  2017-09-20

7.  Computational Modeling of Voice Production Using Excised Canine Larynx.

Authors:  Weili Jiang; Charles Farbos de Luzan; Xiaojian Wang; Liran Oren; Sid M Khosla; Qian Xue; Xudong Zheng
Journal:  J Biomech Eng       Date:  2022-02-01       Impact factor: 2.097

8.  Oral vibratory sensations during voice production at different laryngeal and semi-occluded vocal tract configurations.

Authors:  Zhaoyan Zhang
Journal:  J Acoust Soc Am       Date:  2022-07       Impact factor: 2.482

9.  Voice Feature Selection to Improve Performance of Machine Learning Models for Voice Production Inversion.

Authors:  Zhaoyan Zhang
Journal:  J Voice       Date:  2021-04-10       Impact factor: 2.300

10.  Impact of the Paraglottic Space on Voice Production in an MRI-Based Vocal Fold Model.

Authors:  Liang Wu; Zhaoyan Zhang
Journal:  J Voice       Date:  2021-03-19       Impact factor: 2.300

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