Literature DB >> 19813811

Ranking vocal fold model parameters by their influence on modal frequencies.

Douglas D Cook1, Eric Nauman, Luc Mongeau.   

Abstract

The purpose of this study was to identify, using computational models, the vocal fold parameters which are most influential in determining the vibratory characteristics of the vocal folds. The sensitivities of vocal folds modal frequencies to variations model parameters were used to determine the most influential parameters. A detailed finite element model of the human vocal fold was created. The model was defined by eight geometric and six material parameters. The model included transitional boundary regions to idealize the complex physiological structure of real human subjects. Parameters were simultaneously varied over ranges representative of actual human vocal folds. Three separate statistical analysis techniques were used to identify the most and least sensitive model parameters with respect to modal frequency. The results from all three methods consistently suggest that a set of five parameters are most influential in determining the vibratory characteristics of the vocal folds.

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Year:  2009        PMID: 19813811      PMCID: PMC2771058          DOI: 10.1121/1.3183592

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


  19 in total

1.  Intraglottal pressure profiles for a symmetric and oblique glottis with a divergence angle of 10 degrees.

Authors:  R C Scherer; D Shinwari; K J De Witt; C Zhang; B R Kucinschi; A A Afjeh
Journal:  J Acoust Soc Am       Date:  2001-04       Impact factor: 1.840

2.  Normal modes in vocal cord tissues.

Authors:  I R Titze; W J Strong
Journal:  J Acoust Soc Am       Date:  1975-03       Impact factor: 1.840

3.  A contribution to simulating a three-dimensional larynx model using the finite element method.

Authors:  Marcelo de Oliveira Rosa; José Carlos Pereira; Marcos Grellet; Abeer Alwan
Journal:  J Acoust Soc Am       Date:  2003-11       Impact factor: 1.840

4.  A three-dimensional model of vocal fold abduction/adduction.

Authors:  Eric J Hunter; Ingo R Titze; Fariborz Alipour
Journal:  J Acoust Soc Am       Date:  2004-04       Impact factor: 1.840

5.  Reducing the number of vocal fold mechanical tissue properties: evaluation of the incompressibility and planar displacement assumptions.

Authors:  Douglas D Cook; Eric Nauman; Luc Mongeau
Journal:  J Acoust Soc Am       Date:  2008-12       Impact factor: 1.840

6.  Normal modes in a continuum model of vocal fold tissues.

Authors:  D A Berry; I R Titze
Journal:  J Acoust Soc Am       Date:  1996-11       Impact factor: 1.840

7.  Voice simulation with a body-cover model of the vocal folds.

Authors:  B H Story; I R Titze
Journal:  J Acoust Soc Am       Date:  1995-02       Impact factor: 1.840

8.  Interpretation of biomechanical simulations of normal and chaotic vocal fold oscillations with empirical eigenfunctions.

Authors:  D A Berry; H Herzel; I R Titze; K Krischer
Journal:  J Acoust Soc Am       Date:  1994-06       Impact factor: 1.840

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Authors:  G Friedrich; J Kainz; W Freidl
Journal:  Laryngorhinootologie       Date:  1993-05       Impact factor: 1.057

10.  Mechanical properties of human tracheal cartilage.

Authors:  J K Rains; J L Bert; C R Roberts; P D Paré
Journal:  J Appl Physiol (1985)       Date:  1992-01
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  17 in total

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Authors:  Daryush D Mehta; Matías Zaéartu; Thomas F Quatieri; Dimitar D Deliyski; Robert E Hillman
Journal:  J Acoust Soc Am       Date:  2011-12       Impact factor: 1.840

2.  Flow-induced vibratory response of idealized versus magnetic resonance imaging-based synthetic vocal fold models.

Authors:  Brian A Pickup; Scott L Thomson
Journal:  J Acoust Soc Am       Date:  2010-09       Impact factor: 1.840

3.  Identification of geometric parameters influencing the flow-induced vibration of a two-layer self-oscillating computational vocal fold model.

Authors:  Brian A Pickup; Scott L Thomson
Journal:  J Acoust Soc Am       Date:  2011-04       Impact factor: 1.840

4.  Sensitivity of vocal fold vibratory modes to their three-layer structure: implications for computational modeling of phonation.

Authors:  Q Xue; X Zheng; S Bielamowicz; R Mittal
Journal:  J Acoust Soc Am       Date:  2011-08       Impact factor: 1.840

5.  Computational modeling of individual differences in behavioral estimates of cochlear nonlinearities.

Authors:  Skyler G Jennings; Jayne B Ahlstrom; Judy R Dubno
Journal:  J Assoc Res Otolaryngol       Date:  2014-09-30

6.  Influence of vocal fold cover layer thickness on its vibratory dynamics during voice production.

Authors:  Weili Jiang; Xudong Zheng; Qian Xue
Journal:  J Acoust Soc Am       Date:  2019-07       Impact factor: 1.840

7.  Effect of Longitudinal Variation of Vocal Fold Inner Layer Thickness on Fluid-Structure Interaction During Voice Production.

Authors:  Weili Jiang; Qian Xue; Xudong Zheng
Journal:  J Biomech Eng       Date:  2018-12-01       Impact factor: 2.097

8.  Combining multiobjective optimization and cluster analysis to study vocal fold functional morphology.

Authors:  Anil Palaparthi; Tobias Riede; Ingo R Titze
Journal:  IEEE Trans Biomed Eng       Date:  2014-04-22       Impact factor: 4.538

9.  A cervid vocal fold model suggests greater glottal efficiency in calling at high frequencies.

Authors:  Ingo R Titze; Tobias Riede
Journal:  PLoS Comput Biol       Date:  2010-08-19       Impact factor: 4.475

10.  Empirical measurements of biomechanical anisotropy of the human vocal fold lamina propria.

Authors:  Jordan E Kelleher; Thomas Siegmund; Mindy Du; Elhum Naseri; Roger W Chan
Journal:  Biomech Model Mechanobiol       Date:  2012-08-11
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