Mapping Thyroarytenoid and Cricothyroid Activations to Postural and Acoustic Features in a Fiber-Gel Model of the Vocal Folds

Any specific vowel sound that humans produce can be represented in terms of four perceptual features in addition to the vowel category. They are pitch, loudness, brightness, and roughness. Corresponding acoustic features chosen here are fundamental frequency (<i>f<sub>o</sub></i...

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Main Authors: Anil Palaparthi, Simeon Smith, Ingo R. Titze
Format: Article
Language:English
Published: MDPI AG 2019-11-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/9/21/4671
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spelling doaj-580e7c8e404e401d97052db321d48cb42020-11-24T21:52:01ZengMDPI AGApplied Sciences2076-34172019-11-01921467110.3390/app9214671app9214671Mapping Thyroarytenoid and Cricothyroid Activations to Postural and Acoustic Features in a Fiber-Gel Model of the Vocal FoldsAnil Palaparthi0Simeon Smith1Ingo R. Titze2National Center for Voice and Speech, The University of Utah, 1901 S Campus Dr, Suite 2120, Salt Lake City, UT 84112, USANational Center for Voice and Speech, The University of Utah, 1901 S Campus Dr, Suite 2120, Salt Lake City, UT 84112, USANational Center for Voice and Speech, The University of Utah, 1901 S Campus Dr, Suite 2120, Salt Lake City, UT 84112, USAAny specific vowel sound that humans produce can be represented in terms of four perceptual features in addition to the vowel category. They are pitch, loudness, brightness, and roughness. Corresponding acoustic features chosen here are fundamental frequency (<i>f<sub>o</sub></i>), sound pressure level (SPL), normalized spectral centroid (NSC), and approximate entropy (ApEn). In this study, thyroarytenoid (TA) and cricothyroid (CT) activations were varied computationally to study their relationship with these four specific acoustic features. Additionally, postural and material property variables such as vocal fold length (L) and fiber stress (<inline-formula> <math display="inline"> <semantics> <mi>&#963;</mi> </semantics> </math> </inline-formula>) in the three vocal fold tissue layers were also calculated. A fiber-gel finite element model developed at National Center for Voice and Speech was used for this purpose. Muscle activation plots were generated to obtain the dependency of postural and acoustic features on TA and CT muscle activations. These relationships were compared against data obtained from previous in vivo human larynx studies and from canine laryngeal studies. General trends are that <i>f<sub>o</sub></i> and <i>SPL</i> increase with CT activation, while NSC decreases when CT activation is raised above 20%. With TA activation, acoustic features have no uniform trends, except SPL increases uniformly with TA if there is a co-variation with CT activation. Trends for postural variables and material properties are also discussed in terms of activation levels.https://www.mdpi.com/2076-3417/9/21/4671intrinsic laryngeal muscle activationsvoice acousticsvocal fold posturingvoice production
collection DOAJ
language English
format Article
sources DOAJ
author Anil Palaparthi
Simeon Smith
Ingo R. Titze
spellingShingle Anil Palaparthi
Simeon Smith
Ingo R. Titze
Mapping Thyroarytenoid and Cricothyroid Activations to Postural and Acoustic Features in a Fiber-Gel Model of the Vocal Folds
Applied Sciences
intrinsic laryngeal muscle activations
voice acoustics
vocal fold posturing
voice production
author_facet Anil Palaparthi
Simeon Smith
Ingo R. Titze
author_sort Anil Palaparthi
title Mapping Thyroarytenoid and Cricothyroid Activations to Postural and Acoustic Features in a Fiber-Gel Model of the Vocal Folds
title_short Mapping Thyroarytenoid and Cricothyroid Activations to Postural and Acoustic Features in a Fiber-Gel Model of the Vocal Folds
title_full Mapping Thyroarytenoid and Cricothyroid Activations to Postural and Acoustic Features in a Fiber-Gel Model of the Vocal Folds
title_fullStr Mapping Thyroarytenoid and Cricothyroid Activations to Postural and Acoustic Features in a Fiber-Gel Model of the Vocal Folds
title_full_unstemmed Mapping Thyroarytenoid and Cricothyroid Activations to Postural and Acoustic Features in a Fiber-Gel Model of the Vocal Folds
title_sort mapping thyroarytenoid and cricothyroid activations to postural and acoustic features in a fiber-gel model of the vocal folds
publisher MDPI AG
series Applied Sciences
issn 2076-3417
publishDate 2019-11-01
description Any specific vowel sound that humans produce can be represented in terms of four perceptual features in addition to the vowel category. They are pitch, loudness, brightness, and roughness. Corresponding acoustic features chosen here are fundamental frequency (<i>f<sub>o</sub></i>), sound pressure level (SPL), normalized spectral centroid (NSC), and approximate entropy (ApEn). In this study, thyroarytenoid (TA) and cricothyroid (CT) activations were varied computationally to study their relationship with these four specific acoustic features. Additionally, postural and material property variables such as vocal fold length (L) and fiber stress (<inline-formula> <math display="inline"> <semantics> <mi>&#963;</mi> </semantics> </math> </inline-formula>) in the three vocal fold tissue layers were also calculated. A fiber-gel finite element model developed at National Center for Voice and Speech was used for this purpose. Muscle activation plots were generated to obtain the dependency of postural and acoustic features on TA and CT muscle activations. These relationships were compared against data obtained from previous in vivo human larynx studies and from canine laryngeal studies. General trends are that <i>f<sub>o</sub></i> and <i>SPL</i> increase with CT activation, while NSC decreases when CT activation is raised above 20%. With TA activation, acoustic features have no uniform trends, except SPL increases uniformly with TA if there is a co-variation with CT activation. Trends for postural variables and material properties are also discussed in terms of activation levels.
topic intrinsic laryngeal muscle activations
voice acoustics
vocal fold posturing
voice production
url https://www.mdpi.com/2076-3417/9/21/4671
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