Literature DB >> 28464688

Variability in muscle activation of simple speech motions: A biomechanical modeling approach.

Negar M Harandi1, Jonghye Woo2, Maureen Stone3, Rafeef Abugharbieh1, Sidney Fels1.   

Abstract

Biomechanical models of the oropharynx facilitate the study of speech function by providing information that cannot be directly derived from imaging data, such as internal muscle forces and muscle activation patterns. Such models, when constructed and simulated based on anatomy and motion captured from individual speakers, enable the exploration of inter-subject variability of speech biomechanics. These models also allow one to answer questions, such as whether speakers produce similar sounds using essentially the same motor patterns with subtle differences, or vastly different motor equivalent patterns. Following this direction, this study uses speaker-specific modeling tools to investigate the muscle activation variability in two simple speech tasks that move the tongue forward (/ə-ɡis/) vs backward (/ə-suk/). Three dimensional tagged magnetic resonance imaging data were used to inversely drive the biomechanical models in four English speakers. Results show that the genioglossus is the workhorse muscle of the tongue, with activity levels of 10% in different subdivisions at different times. Jaw and hyoid positioners (inferior pterygoid and digastric) also show high activation during specific phonemes. Other muscles may be more involved in fine tuning the shapes. For example, slightly more activation of the anterior portion of the transverse is found during apical than laminal /s/, which would protrude the tongue tip to a greater extent for the apical /s/.

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Year:  2017        PMID: 28464688      PMCID: PMC6909993          DOI: 10.1121/1.4978420

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


  29 in total

1.  Imaging heart motion using harmonic phase MRI.

Authors:  N F Osman; E R McVeigh; J L Prince
Journal:  IEEE Trans Med Imaging       Date:  2000-03       Impact factor: 10.048

2.  Influences of tongue biomechanics on speech movements during the production of velar stop consonants: a modeling study.

Authors:  Pascal Perrier; Yohan Payan; Majid Zandipour; Joseph Perkell
Journal:  J Acoust Soc Am       Date:  2003-09       Impact factor: 1.840

3.  A 3D model of muscle reveals the causes of nonuniform strains in the biceps brachii.

Authors:  Silvia S Blemker; Peter M Pinsky; Scott L Delp
Journal:  J Biomech       Date:  2005-04       Impact factor: 2.712

4.  Measuring tongue motion from tagged cine-MRI using harmonic phase (HARP) processing.

Authors:  Vijay Parthasarathy; Jerry L Prince; Maureen Stone; Emi Z Murano; Moriel Nessaiver
Journal:  J Acoust Soc Am       Date:  2007-01       Impact factor: 1.840

5.  Frequency of Apical and Laminal /s/ in Normal and Postglossectomy Patients.

Authors:  Maureen Stone; Susan Rizk; Jonghye Woo; Emi Z Murano; Hegang Chen; Jerry L Prince
Journal:  J Med Speech Lang Pathol       Date:  2012-12

6.  A fast and robust patient specific Finite Element mesh registration technique: application to 60 clinical cases.

Authors:  Marek Bucki; Claudio Lobos; Yohan Payan
Journal:  Med Image Anal       Date:  2010-02-14       Impact factor: 8.545

Review 7.  External laryngeal frame function in voice production revisited: a review.

Authors:  E Vilkman; A Sonninen; P Hurme; P Körkkö
Journal:  J Voice       Date:  1996-03       Impact factor: 2.009

8.  3D tongue motion from tagged and cine MR images.

Authors:  Fangxu Xing; Jonghye Woo; Emi Z Murano; Junghoon Lee; Maureen Stone; Jerry L Prince
Journal:  Med Image Comput Comput Assist Interv       Date:  2013

9.  Automatic prediction of tongue muscle activations using a finite element model.

Authors:  Ian Stavness; John E Lloyd; Sidney Fels
Journal:  J Biomech       Date:  2012-09-25       Impact factor: 2.712

10.  EMG approach to assessing tongue activity using miniature surface electrodes.

Authors:  K Yoshida; K Takada; S Adachi; M Sakuda
Journal:  J Dent Res       Date:  1982-10       Impact factor: 6.116

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  5 in total

1.  Inverse Biomechanical Modeling of the Tongue via Machine Learning and Synthetic Training Data.

Authors:  Aniket A Tolpadi; Maureen L Stone; Aaron Carass; Jerry L Prince; Arnold D Gomez
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2018-03-12

Review 2.  Computer-Implemented Articulatory Models for Speech Production: A Review.

Authors:  Bernd J Kröger
Journal:  Front Robot AI       Date:  2022-03-08

3.  A Dynamic Jaw Model With a Finite-Element Temporomandibular Joint.

Authors:  Benedikt Sagl; Martina Schmid-Schwap; Eva Piehslinger; Michael Kundi; Ian Stavness
Journal:  Front Physiol       Date:  2019-09-13       Impact factor: 4.566

4.  Reconstruction of vocal tract geometries from biomechanical simulations.

Authors:  Saeed Dabbaghchian; Marc Arnela; Olov Engwall; Oriol Guasch
Journal:  Int J Numer Method Biomed Eng       Date:  2018-11-14       Impact factor: 2.747

Review 5.  Orofacial Muscles: Embryonic Development and Regeneration after Injury.

Authors:  D H Rosero Salazar; P L Carvajal Monroy; F A D T G Wagener; J W Von den Hoff
Journal:  J Dent Res       Date:  2019-11-01       Impact factor: 6.116

  5 in total

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