Neuromechanical Modelling of Articulatory Movements from Surface Electromyography and Speech Formants
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AuthorGómez Vilda, Pedro; Gómez Rodellar, Andrés; Ferrández Vicente, José Manuel; Mekyska, Jiri; Palacios Alonso, Daniel; [et al.]
Knowledge AreaArquitectura y Tecnología de ComputadorasLenguajes y Sistemas Informáticos
SponsorsThis work is being funded by Grants TEC2016-77791-C4-4-R from the Ministry of Economic Affairs and Competitiveness of Spain, Teka-Park 55 02 CENIE-0348_CIE_6_E POCTEP (InterReg Programme) and 16-30805A, SIX Research Center (CZ.1.05/2.1.00/03.0072), and LO1401 from the Czech Republic Government.
Realizado en/conUniversidad Politécnica de Cartagena; Universidad Politécnica de Madrid; Universidad Rey Juan Carlos; Universidad Masaryk Brno
Bibliographic CitationGómez-Vilda P, Gómez-Rodellar A, Vicente JMF, Mekyska J, Palacios-Alonso D, Rodellar-Biarge V, Álvarez-Marquina A, Eliasova I, Kostalova M, Rektorova I. Neuromechanical Modelling of Articulatory Movements from Surface Electromyography and Speech Formants. Int J Neural Syst. 2019 Mar;29(2):1850039. doi: 10.1142/S0129065718500399.
KeywordsSpeech neuromotor activity
Facial myoelectric activity
Speech articulation is produced by the movements of muscles in the larynx, pharynx, mouth and face. Therefore speech shows acoustic features as formants which are directly related with neuromotor actions of these muscles. The first two formants are strongly related with jaw and tongue muscular activity. Speech can be used as a simple and ubiquitous signal, easy to record and process, either locally or on e-Health platforms. This fact may open a wide set of applications in the study of functional grading and monitoring neurodegenerative diseases. A relevant question, in this sense, is how far speech correlates and neuromotor actions are related. This preliminary study is intended to find answers to this question by using surface electromyographic recordings on the masseter and the acoustic kinematics related with the first formant. It is shown in the study that relevant correlations can be found among the surface electromyographic activity (dynamic muscle behavior) and the positions and ...
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