Literature DB >> 7876446

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

B H Story1, I R Titze.   

Abstract

A simple, low-dimensional model of the body-cover vocal-fold structure is proposed as a research tool to study both normal and pathological vocal-fold vibration. It maintains the simplicity of a two-mass model but allows for physiologically relevant adjustments and separate vibration of the body and the cover. The classic two-mass model of the vocal folds [K. Ishizaka and J. L. Flanagan, Bell Syst. Tech. J. 51, 1233-1268 (1972)] has been extended to a three-mass model in order to more realistically represent the body-cover vocal-fold structure [M. Hirano, Folia Phoniar. 26, 89-94 (1974)]. The model consists of two "cover" masses coupled laterally to a "body" mass by nonlinear springs and viscous damping elements. The body mass, which represents muscle tissue, is further coupled laterally to a rigid wall (assumed to represent the thyroid cartilage) by a nonlinear spring and a damping element. The two cover springs are intended to represent the elastic properties of the epithelium and the lamina propria while the body spring simulates the tension produced by contraction of the thyroarytenoid muscle. Thus contractions of the cricothyroid and thyroarytenoid muscles are incorporated in the values used for the stiffness parameters of the body and cover springs. Additionally, the two cover masses are coupled to each other through a linear spring which can represent vertical mucosal wave propagation. Simulations show reasonable similarity to observed vocal-fold motion, measured vertical phase difference, and mucosal wave velocity, as well as experimentally obtained intraglottal pressure.

Entities:  

Mesh:

Year:  1995        PMID: 7876446     DOI: 10.1121/1.412234

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


  75 in total

1.  Investigating acoustic correlates of human vocal fold vibratory phase asymmetry through modeling and laryngeal high-speed videoendoscopy.

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.  Source-tract interaction with prescribed vocal fold motion.

Authors:  Richard S McGowan; Michael S Howe
Journal:  J Acoust Soc Am       Date:  2012-04       Impact factor: 1.840

3.  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

4.  A computational study of the effect of vocal-fold asymmetry on phonation.

Authors:  Q Xue; R Mittal; X Zheng; S Bielamowicz
Journal:  J Acoust Soc Am       Date:  2010-08       Impact factor: 1.840

5.  Dynamics of temporal variations in phonatory flow.

Authors:  Michael H Krane; Michael Barry; Timothy Wei
Journal:  J Acoust Soc Am       Date:  2010-07       Impact factor: 1.840

6.  Graded activation of the intrinsic laryngeal muscles for vocal fold posturing.

Authors:  Dinesh K Chhetri; Juergen Neubauer; David A Berry
Journal:  J Acoust Soc Am       Date:  2010-04       Impact factor: 1.840

7.  Cross-activation and detraining effects of tongue exercise in aged rats.

Authors:  Allison J Schaser; Michelle R Ciucci; Nadine P Connor
Journal:  Behav Brain Res       Date:  2015-10-23       Impact factor: 3.332

8.  Resonance Effects and the Vocalization of Speech.

Authors:  Brad Rakerd; Eric J Hunter; Peter Lapine
Journal:  Perspect ASHA Spec Interest Groups       Date:  2019-12-05

9.  Acoustically-coupled flow-induced vibration of a computational vocal fold model.

Authors:  David Jesse Daily; Scott L Thomson
Journal:  Comput Struct       Date:  2013-01-15       Impact factor: 4.578

10.  A computational study of the effect of false vocal folds on glottal flow and vocal fold vibration during phonation.

Authors:  Xudong Zheng; Steve Bielamowicz; Haoxiang Luo; Rajat Mittal
Journal:  Ann Biomed Eng       Date:  2009-01-14       Impact factor: 3.934

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.