Titulo:
Ajuste fino de un modelo de producción vocal para estimar el estrés de impacto utilizando un método metaheurístico
.
Sumario:
Introducción. En modelos de producción vocal que emplean estructuras de resorte-masa-amortiguador, la precisión en la determinación de coeficientes de amortiguamiento que se asemejen a las características fisiológicas de las cuerdas vocales es crucial, teniendo en cuenta posibles variaciones en la representación de la viscoelasticidad. Objetivo. Este estudio tiene como objetivo realizar un ajuste paramétrico de un modelo de producción vocal basado en un sistema de resorte-masa-amortiguador que incorpora interacción con la presión subglótica, con el fin de modelar de manera precisa las fuerzas de colisión ejercidas por las cuerdas vocales durante la fonación. Método. Se utilizó un algoritmo de búsqueda metaheurística para la síntesis paramét... Ver más
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FUNDACION UNIVERSITARIA MARIA CANO |
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Colombia |
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Revista de Investigación e Innovación en Ciencias de la Salud |
| title |
Ajuste fino de un modelo de producción vocal para estimar el estrés de impacto utilizando un método metaheurístico |
| spellingShingle |
Ajuste fino de un modelo de producción vocal para estimar el estrés de impacto utilizando un método metaheurístico Calvache-Mora, Carlos-Alberto Soláque, Leonardo Velasco, Alexandra Peñuela, Lina Vocal model impact stress metaheuristic methods fine-tunning Modelo vocal estrés de impacto métodos metaheurísticos ajuste fino |
| title_short |
Ajuste fino de un modelo de producción vocal para estimar el estrés de impacto utilizando un método metaheurístico |
| title_full |
Ajuste fino de un modelo de producción vocal para estimar el estrés de impacto utilizando un método metaheurístico |
| title_fullStr |
Ajuste fino de un modelo de producción vocal para estimar el estrés de impacto utilizando un método metaheurístico |
| title_full_unstemmed |
Ajuste fino de un modelo de producción vocal para estimar el estrés de impacto utilizando un método metaheurístico |
| title_sort |
ajuste fino de un modelo de producción vocal para estimar el estrés de impacto utilizando un método metaheurístico |
| description |
Introducción. En modelos de producción vocal que emplean estructuras de resorte-masa-amortiguador, la precisión en la determinación de coeficientes de amortiguamiento que se asemejen a las características fisiológicas de las cuerdas vocales es crucial, teniendo en cuenta posibles variaciones en la representación de la viscoelasticidad.
Objetivo. Este estudio tiene como objetivo realizar un ajuste paramétrico de un modelo de producción vocal basado en un sistema de resorte-masa-amortiguador que incorpora interacción con la presión subglótica, con el fin de modelar de manera precisa las fuerzas de colisión ejercidas por las cuerdas vocales durante la fonación.
Método. Se utilizó un algoritmo de búsqueda metaheurística para la síntesis paramétrica. El algoritmo se aplicó a los coeficientes de elasticidad c1 y c2, así como a los coeficientes de amortiguamiento ε1 y ε2, que se correlacionan directamente con las matrices de masa del modelo. Esto facilita el ajuste de la composición de las cuerdas para lograr un comportamiento fisiológico deseado.
Resultados. El comportamiento del sistema vocal para cada ciclo de simulación se comparó con un estándar predefinido en condiciones normales. El algoritmo determinó el punto final de la simulación evaluando las discrepancias entre características clave de las señales obtenidas y las deseadas.
Conclusión. El ajuste paramétrico permitió la aproximación del comportamiento fisiológico de la producción vocal, proporcionando estimaciones de las fuerzas de impacto experimentadas por las cuerdas vocales durante la fonación.
|
| description_eng |
Introduction. In vocal production models employing spring-mass-damper frameworks, precision in determining damping coefficients that align with physiological vocal fold characteristics is crucial, accounting for potential variations in the representation of viscosity-elasticity properties.
Objective. This study aims to conduct a parametric fitting of a vocal production model based on a mass-spring-damper system incorporating subglottic pressure interaction, with the purpose of accurately modeling the collision forces exerted by vocal folds during phonation.
Method. A metaheuristic search algorithm was employed for parametric synthesis. The algorithm was applied to elasticity coefficients c1 and c2, as well as damping coefficients ε1 and ε2, which directly correlate with the mass matrices of the model. This facilitates the adjustment of fold composition to achieve desired physiological behavior.
Results. The vocal system's behavior for each simulation cycle was compared to a predefined standard under normal conditions. The algorithm determined the simulation endpoint by evaluating discrepancies between key features of the obtained signals and the desired ones.
Conclusion. Parametric fitting enabled the approximation of physiological vocal production behavior, providing estimates of the impact forces experienced by vocal folds during phonation.
|
| author |
Calvache-Mora, Carlos-Alberto Soláque, Leonardo Velasco, Alexandra Peñuela, Lina |
| author_facet |
Calvache-Mora, Carlos-Alberto Soláque, Leonardo Velasco, Alexandra Peñuela, Lina |
| topic |
Vocal model impact stress metaheuristic methods fine-tunning Modelo vocal estrés de impacto métodos metaheurísticos ajuste fino |
| topic_facet |
Vocal model impact stress metaheuristic methods fine-tunning Modelo vocal estrés de impacto métodos metaheurísticos ajuste fino |
| topicspa_str_mv |
Modelo vocal estrés de impacto métodos metaheurísticos ajuste fino |
| citationvolume |
6 |
| citationissue |
1 |
| publisher |
Fundación Universitaria María Cano |
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Revista de Investigación e Innovación en Ciencias de la Salud |
| source |
https://riics.info/index.php/RCMC/article/view/234 |
| language |
eng |
| format |
Article |
| rights |
https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es Revista de Investigación e Innovación en Ciencias de la Salud - 2024 This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. info:eu-repo/semantics/openAccess http://purl.org/coar/access_right/c_abf2 |
| references_eng |
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Applied Machine Learning Techniques to Diagnose Voice-Affecting Conditions and Disorders: Systematic Literature Review. J Med Internet Res [Internet]. 2023 Jul;25:e46105. doi: https://doi.org/10.2196/46105 |
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Ajuste fino de un modelo de producción vocal para estimar el estrés de impacto utilizando un método metaheurístico Ajuste fino de un modelo de producción vocal para estimar el estrés de impacto utilizando un método metaheurístico Introducción. En modelos de producción vocal que emplean estructuras de resorte-masa-amortiguador, la precisión en la determinación de coeficientes de amortiguamiento que se asemejen a las características fisiológicas de las cuerdas vocales es crucial, teniendo en cuenta posibles variaciones en la representación de la viscoelasticidad. Objetivo. Este estudio tiene como objetivo realizar un ajuste paramétrico de un modelo de producción vocal basado en un sistema de resorte-masa-amortiguador que incorpora interacción con la presión subglótica, con el fin de modelar de manera precisa las fuerzas de colisión ejercidas por las cuerdas vocales durante la fonación. Método. Se utilizó un algoritmo de búsqueda metaheurística para la síntesis paramétrica. El algoritmo se aplicó a los coeficientes de elasticidad c1 y c2, así como a los coeficientes de amortiguamiento ε1 y ε2, que se correlacionan directamente con las matrices de masa del modelo. Esto facilita el ajuste de la composición de las cuerdas para lograr un comportamiento fisiológico deseado. Resultados. El comportamiento del sistema vocal para cada ciclo de simulación se comparó con un estándar predefinido en condiciones normales. El algoritmo determinó el punto final de la simulación evaluando las discrepancias entre características clave de las señales obtenidas y las deseadas. Conclusión. El ajuste paramétrico permitió la aproximación del comportamiento fisiológico de la producción vocal, proporcionando estimaciones de las fuerzas de impacto experimentadas por las cuerdas vocales durante la fonación. Introduction. In vocal production models employing spring-mass-damper frameworks, precision in determining damping coefficients that align with physiological vocal fold characteristics is crucial, accounting for potential variations in the representation of viscosity-elasticity properties. Objective. This study aims to conduct a parametric fitting of a vocal production model based on a mass-spring-damper system incorporating subglottic pressure interaction, with the purpose of accurately modeling the collision forces exerted by vocal folds during phonation. Method. A metaheuristic search algorithm was employed for parametric synthesis. The algorithm was applied to elasticity coefficients c1 and c2, as well as damping coefficients ε1 and ε2, which directly correlate with the mass matrices of the model. This facilitates the adjustment of fold composition to achieve desired physiological behavior. Results. The vocal system's behavior for each simulation cycle was compared to a predefined standard under normal conditions. The algorithm determined the simulation endpoint by evaluating discrepancies between key features of the obtained signals and the desired ones. Conclusion. Parametric fitting enabled the approximation of physiological vocal production behavior, providing estimates of the impact forces experienced by vocal folds during phonation. Calvache-Mora, Carlos-Alberto Soláque, Leonardo Velasco, Alexandra Peñuela, Lina Vocal model impact stress metaheuristic methods fine-tunning Modelo vocal estrés de impacto métodos metaheurísticos ajuste fino 6 1 Artículo de revista Journal article 2024-01-29T17:38:48Z 2024-01-29T17:38:48Z 2024-01-29 text/html application/pdf Fundación Universitaria María Cano Revista de Investigación e Innovación en Ciencias de la Salud 2665-2056 https://riics.info/index.php/RCMC/article/view/234 10.46634/riics.234 https://doi.org/10.46634/riics.234 eng https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es Revista de Investigación e Innovación en Ciencias de la Salud - 2024 This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. 24 43 Zhang Y, Zheng X, Xue Q. A Deep Neural Network Based Glottal Flow Model for Predicting Fluid-Structure Interactions during Voice Production. Appl Sci [Internet]. 2020 Jan 19;10(2):1-18. doi: https://doi.org/10.3390/app10020705 2. Titze IR. Nonlinear source–filter coupling in phonation: Theory. J Acoust Soc Am [Internet]. 2008;123(5):2733-49. doi: https://doi.org/10.1121/1.2832337 3. Hunter EJ, Titze IR, Alipour F. A three-dimensional model of vocal fold abduction/adduction. J Acoust Soc Am [Internet]. 2004;115(4):1747-59. doi: https://doi.org/10.1121/1.1652033 4. Story BH. An overview of the physiology, physics and modeling of the sound source for vowels. Acoust Sci Technol [Internet]. 2002;23(4):195-206. doi: https://doi.org/10.1250/ast.23.195 5. Alipour F, Vigmostad S. Measurement of vocal folds elastic properties for continuum modeling. J Voice [Internet]. 2012;26(6):816.e21-816.e29. doi: https://doi.org/10.1016/j.jvoice.2012.04.010 6. Berry DA, Zhang Z, Neubauer J. Mechanisms of irregular vibration in a physical model of the vocal folds. 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