Detección automática de voz hipernasal de niños con labio y paladar hendido a partir de vocales y palabras del español usando medidas clásicas y análisis no lineal

Autores/as

DOI:

https://doi.org/10.17533/udea.redin.n80a12

Palabras clave:

detección automática de hipernasalidad, labio y paladar hendido, medidas de perturbación, medidas de ruido, dinámica no lineal

Resumen

Este artículo presenta un sistema para la detección automática de señales de voz hipernasales basado en la combinación de dos diferentes esquemas de caracterización aplicados en las cinco vocales del español y dos palabras seleccionadas. El primer esquema está basado en características clásicas como perturbaciones del periodo fundamental, medidas de ruido y coeficientes cepstrales en la frecuencia de Mel. El segundo enfoque está basado en medidas de dinámica no lineal. Las características más relevantes son seleccionadas usando dos técnicas: análisis de componentes principales y selección flotante hacia adelante secuencial. La decisión acerca de si un registro de voz es hipernasal o sano es tomada usando una máquina de soporte vectorial de margen suave. Los experimentos consideran grabaciones de las cinco vocales del idioma español y las palabras /coco/ y /gato/ y se consideran, asimismo, tres conjuntos de características: (1) el enfoque clásico, (2) el análisis de dinámica no lineal y (3) la combinación de ambos esquemas. En general, los aciertos son mayores y más estables cuando las características clásicas y no lineales son combinadas, indicando que el análisis de dinámica no lineal se complementa con el esquema clásico.

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Biografía del autor/a

Juan Rafael Orozco-Arroyave, Universidad de Antioquia

Facultad de Ingeniería.

Jesús Francisco Vargas-Bonilla, Universidad de Antioquia

Facultad de Ingeniería.

Juan Camilo Vásquez-Correa, Universidad de Antioquia

Facultad de Ingeniería.

Cesar German Castellanos-Domínguez, Universidad Nacional de Colombia

Facultad de Ingeniería y Arquitectura.

Elmar Nöth, Universidad Friedrich-Alexander Erlangen-Nürnberg

Laboratorio de reconocimiento de patrones.

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Publicado

2016-09-15

Cómo citar

Orozco-Arroyave, J. R., Vargas-Bonilla, J. F., Vásquez-Correa, J. C., Castellanos-Domínguez, C. G., & Nöth, E. (2016). Detección automática de voz hipernasal de niños con labio y paladar hendido a partir de vocales y palabras del español usando medidas clásicas y análisis no lineal. Revista Facultad De Ingeniería Universidad De Antioquia, (80), 109–123. https://doi.org/10.17533/udea.redin.n80a12

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