Literature DB >> 9309860

A control model of human tongue movements in speech.

V Sanguineti1, R Laboissière, Y Payan.   

Abstract

Tongue movements during speech production have been investigated by means of a simple yet realistic biomechanical model, based on a finite elements modeling of soft tissues, in the framework of the equilibrium point hypothesis (lambda-model) of motor control. In particular, the model has been applied to the estimation of the "central" control commands issued to the muscles, for a data set of mid-sagittal digitized tracings of vocal tract shape, recorded by means of low-intensity X-ray cineradiographies during speech. In spite of the highly non-linear mapping between the shape of the oral cavity and its acoustic consequences, the organization of control commands preserves the peculiar spatial organization of vowel phonemes in acoustic space. A factor analysis of control commands, which have been decomposed into independent or "orthogonal" muscle groups, has shown that, in spite of the great mobility of the tongue and the highly complex arrangement of tongue muscles, its movements can be explained in terms of the activation of a small number of independent muscle groups, each corresponding to an elementary or "primitive" movement. These results are consistent with the hypothesis that the tongue is controlled by a small number of independent "articulators", for which a precise biomechanical substrate is provided. The influence of the effect of jaw and hyoid movements on tongue equilibrium has also been evaluated, suggesting that the bony structures cannot be considered as a moving frame of reference, but, indeed, there may be a substantial interaction between them and the tongue, that may only be accounted for by a "global" model. The reported results also define a simple control model for the tongue and, in analogy with similar modelling studies, they suggest that, because of the peculiar geometrical arrangement of tongue muscles, the central nervous system (CNS) may not need a detailed representation of tongue mechanics but rather may make use of a relatively small number of muscle synergies, that are invariant over the whole space of tongue configurations.

Entities:  

Mesh:

Year:  1997        PMID: 9309860     DOI: 10.1007/s004220050362

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  14 in total

1.  Tongue-surface movement patterns during speech and swallowing.

Authors:  Jordan R Green; Yu-Tsai Wang
Journal:  J Acoust Soc Am       Date:  2003-05       Impact factor: 1.840

2.  Derivation of a finite-element model of lingual deformation during swallowing from the mechanics of mesoscale myofiber tracts obtained by MRI.

Authors:  Srboljub M Mijailovich; Boban Stojanovic; Milos Kojic; Alvin Liang; Van J Wedeen; Richard J Gilbert
Journal:  J Appl Physiol (1985)       Date:  2010-08-05

3.  Computational simulation of human upper airway collapse using a pressure-/state-dependent model of genioglossal muscle contraction under laminar flow conditions.

Authors:  Yaqi Huang; Atul Malhotra; David P White
Journal:  J Appl Physiol (1985)       Date:  2005-04-14

4.  The dynamics of lingual-mandibular coordination during liquid swallowing.

Authors:  Catriona M Steele; Pascal H H M Van Lieshout
Journal:  Dysphagia       Date:  2007-08-15       Impact factor: 3.438

5.  A comprehensive assessment of genioglossus electromyographic activity in healthy adults.

Authors:  Jennifer R Vranish; E Fiona Bailey
Journal:  J Neurophysiol       Date:  2015-02-18       Impact factor: 2.714

6.  Test Suite for Image-Based Motion Estimation of the Brain and Tongue.

Authors:  Jordan Ramsey; Jerry L Prince; Arnold D Gomez
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2017-03-13

7.  Kinematic linkage of the tongue, jaw, and hyoid during eating and speech.

Authors:  Koichiro Matsuo; Jeffrey B Palmer
Journal:  Arch Oral Biol       Date:  2010-03-16       Impact factor: 2.633

8.  Electrocorticographic correlates of overt articulation of 44 English phonemes: intracranial recording in children with focal epilepsy.

Authors:  Goichiro Toyoda; Erik C Brown; Naoyuki Matsuzaki; Katsuaki Kojima; Masaaki Nishida; Eishi Asano
Journal:  Clin Neurophysiol       Date:  2013-11-19       Impact factor: 3.708

9.  Laplace-based modeling of fiber orientation in the tongue.

Authors:  Arnold D Gomez; Nahla Elsaid; Maureen L Stone; Jiachen Zhuo; Jerry L Prince
Journal:  Biomech Model Mechanobiol       Date:  2018-04-19

10.  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
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.