Literature DB >> 12243155

Rules for controlling low-dimensional vocal fold models with muscle activation.

Ingo R Titze1, Brad H Story.   

Abstract

A low-dimensional, self-oscillation model of the vocal folds is used to capture three primary modes of vibration, a shear mode and two compressional modes. The shear mode is implemented with either two vertical masses or a rotating plate, and the compressional modes are implemented with an additional bar mass between the vertically stacked masses and the lateral boundary. The combination of these elements allows for the anatomically important body-cover differentiation of vocal fold tissues. It also allows for reconciliation of lumped-element mechanics with continuum mechanics, but in this reconciliation the oscillation region is restricted to a nearly rectangular glottis (as in all low-dimensional models) and a small effective thickness of vibration (<3 mm). The model is controlled by normalized activation levels of the cricothyroid (CT), thyroarytenoid (TA), lateral cricoarytenoid (LCA), and posterior cricoarytenoid (PCA) muscles, and lung pressure. An empirically derived set of rules converts these muscle activities into physical quantities such as vocal fold strain, adduction, glottal convergence, mass, thickness, depth, and stiffness. Results show that oscillation regions in muscle activation control spaces are similar to those measured by other investigations on human subjects.

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Mesh:

Year:  2002        PMID: 12243155     DOI: 10.1121/1.1496080

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


  39 in total

1.  Nonlinear dynamic mechanism of vocal tremor from voice analysis and model simulations.

Authors:  Yu Zhang; Jack J Jiang
Journal:  J Sound Vib       Date:  2008-09-23       Impact factor: 3.655

2.  Modeling source-filter interaction in belting and high-pitched operatic male singing.

Authors:  Ingo R Titze; Albert S Worley
Journal:  J Acoust Soc Am       Date:  2009-09       Impact factor: 1.840

3.  Modeling the effects of a posterior glottal opening on vocal fold dynamics with implications for vocal hyperfunction.

Authors:  Matías Zañartu; Gabriel E Galindo; Byron D Erath; Sean D Peterson; George R Wodicka; Robert E Hillman
Journal:  J Acoust Soc Am       Date:  2014-12       Impact factor: 1.840

4.  A computational study of depth of vibration into vocal fold tissues.

Authors:  Anil Palaparthi; Simeon Smith; Ted Mau; Ingo R Titze
Journal:  J Acoust Soc Am       Date:  2019-02       Impact factor: 1.840

5.  Mechanics of human voice production and control.

Authors:  Zhaoyan Zhang
Journal:  J Acoust Soc Am       Date:  2016-10       Impact factor: 1.840

6.  Computational modeling of phonatory dynamics in a tubular three-dimensional model of the human larynx.

Authors:  Q Xue; R Mittal; X Zheng; S Bielamowicz
Journal:  J Acoust Soc Am       Date:  2012-09       Impact factor: 1.840

7.  Phonation threshold pressure and the elastic shear modulus: comparison of two-mass model calculations with experiments.

Authors:  Lewis P Fulcher; Ronald C Scherer; John M Waddle
Journal:  J Acoust Soc Am       Date:  2012-10       Impact factor: 1.840

8.  The influence of thyroarytenoid and cricothyroid muscle activation on vocal fold stiffness and eigenfrequencies.

Authors:  Jun Yin; Zhaoyan Zhang
Journal:  J Acoust Soc Am       Date:  2013-05       Impact factor: 1.840

9.  Active and passive properties of canine abduction/adduction laryngeal muscles.

Authors:  Fariborz Alipour; Ingo R Titze; Eric Hunter; Niro Tayama
Journal:  J Voice       Date:  2005-09       Impact factor: 2.009

10.  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

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