Literature DB >> 26746639

[Current methods for modelling voice production].

M Döllinger1, S Kniesburges2, M Kaltenbacher3, M Echternach4.   

Abstract

BACKGROUND: Many details of the phonatory process are not yet fully understood. Besides observational research, scientists have long since been trying to explain the physical fundamentals of voicing using simulations. This approach is commonly called modeling. However, the knowledge gained often failed to find its way to professionals working with the voice, such as singing teachers, voice therapists, and voice coaches, and sometimes also to otorhinolaryngologists and phoniatricians. The reason for this is that scientific publications on this topic mostly contain very detailed mathematical and physical descriptions, which are often hard to understand.
OBJECTIVE: A simplified presentation and explanation of current methods for modeling the phonatory process, which have contributed greatly to uncovering and understanding the relationships involved in voicing during recent years.
METHODS: The presented methods cover a wide spectrum, ranging from numerically rather simple to mathematically highly complex models. Experimental models are based on self-oscillating silicon or static vocal folds. Cadaver models have the advantage of being representative of the natural phonation process.
RESULTS: An overview of different kinds of models is given to show the diversity of modeling approaches without going into mathematical or physical details.
CONCLUSION: Numerical and experimental models for simulating the phonatory process enable causalities and correlations to be uncovered, which can be used in the future to adapt conservative and surgical voice therapies, or even to suggest entire new treatment strategies.

Keywords:  Computer simulation; Larynx; Phonation; Sound; Vocal cords

Mesh:

Year:  2016        PMID: 26746639     DOI: 10.1007/s00106-015-0110-x

Source DB:  PubMed          Journal:  HNO        ISSN: 0017-6192            Impact factor:   1.284


  30 in total

1.  Experimental flow study of modeled regular and irregular glottal closure types.

Authors:  Clemens Kirmse; Michael Triep; C Brücker; Michael Döllinger; Michael Stingl
Journal:  Logoped Phoniatr Vocol       Date:  2010-04       Impact factor: 1.487

2.  Optical reconstruction of high-speed surface dynamics in an uncontrollable environment.

Authors:  Georg Luegmair; Stefan Kniesburges; Maik Zimmermann; Alexander Sutor; Ulrich Eysholdt; Michael Döllinger
Journal:  IEEE Trans Med Imaging       Date:  2010-12       Impact factor: 10.048

Review 3.  Objective measures of laryngeal imaging: what have we learned since Dr. Paul Moore.

Authors:  Peak Woo
Journal:  J Voice       Date:  2013-10-02       Impact factor: 2.009

4.  Spatiotemporal classification of vocal fold dynamics by a multimass model comprising time-dependent parameters.

Authors:  Tobias Wurzbacher; Michael Döllinger; Raphael Schwarz; Ulrich Hoppe; Ulrich Eysholdt; Jörg Lohscheller
Journal:  J Acoust Soc Am       Date:  2008-04       Impact factor: 1.840

5.  [Hoarseness: biomechanisms and quantitative laryngoscopy].

Authors:  U Eysholdt
Journal:  HNO       Date:  2014-07       Impact factor: 1.284

6.  A hybrid approach to the computational aeroacoustics of human voice production.

Authors:  P Šidlof; S Zörner; A Hüppe
Journal:  Biomech Model Mechanobiol       Date:  2014-10-07

7.  Three-Dimensional Optical Reconstruction of Vocal Fold Kinematics Using High-Speed Video With a Laser Projection System.

Authors:  Georg Luegmair; Daryush D Mehta; James B Kobler; Michael Döllinger
Journal:  IEEE Trans Med Imaging       Date:  2015-06-16       Impact factor: 10.048

8.  Pipette aspiration applied to the characterization of nonhomogeneous, transversely isotropic materials used for vocal fold modeling.

Authors:  S Weiß; S L Thomson; R Lerch; M Döllinger; A Sutor
Journal:  J Mech Behav Biomed Mater       Date:  2012-08-30

9.  In vitro experimental investigation of voice production.

Authors:  Stefan Kniesburges; Scott L Thomson; Anna Barney; Michael Triep; Petr Sidlof; Jaromír Horáčcek; Christoph Brücker; Stefan Becker
Journal:  Curr Bioinform       Date:  2011-09-01       Impact factor: 3.543

10.  Experiments on Analysing Voice Production: Excised (Human, Animal) and In Vivo (Animal) Approaches.

Authors:  Michael Döllinger; James Kobler; David A Berry; Daryush D Mehta; Georg Luegmair; Christopher Bohr
Journal:  Curr Bioinform       Date:  2011       Impact factor: 3.543

View more
  2 in total

1.  Biomechanical simulation of vocal fold dynamics in adults based on laryngeal high-speed videoendoscopy.

Authors:  Michael Döllinger; Pablo Gómez; Rita R Patel; Christoph Alexiou; Christopher Bohr; Anne Schützenberger
Journal:  PLoS One       Date:  2017-11-09       Impact factor: 3.240

2.  Impact of Subharmonic and Aperiodic Laryngeal Dynamics on the Phonatory Process Analyzed in Ex Vivo Rabbit Models.

Authors:  Fabian Thornton; Michael Döllinger; Stefan Kniesburges; David Berry; Christoph Alexiou; Anne Schützenberger
Journal:  Appl Sci (Basel)       Date:  2019-05-13       Impact factor: 2.679

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.