Memorias de investigación
Ponencias en congresos:
Analysis of phonatory features for the automatic detection of Parkinson's Disease in two different corpora
Año:2019
Áreas de investigación
  • Inteligencia artificial (redes neuronales, lógica borrosa, sistemas expertos, etc),
  • Trastornos del lenguaje y habla,
  • Ingenierías,
  • Procesado y análisis de la señal
Datos
Descripción
In this study, several automatic detectors of Parkinson?s Disease (PD) based on phonatory aspects were analyzed employing two different corpora containing speech from speakers with PD. The features employed to characterize phonation were jitter, shimmer, noise measurements, complexity, modulation spectrum features and perceptual linear predictive coefficients. To differentiate between speakers with and without PD a gaussian mixture model classification scheme was used. Then, the approach providing the best results was combined with a scheme using articulatory information of the speech in order to assess the complementarity between phonatory and articulatory aspects in the automatic detection of PD. Cross-validation trials (k-folds) employing exclusively phonatory information provided accuracies between 64% and 71%, with AUC between 0.68 and 0.80 depending on the corpus. Results suggest that a combination of all the analyzed features with a PCA dimensionality reduction produce the best accuracy, AUC and sensibility. Also, results indicate that phonatory approaches tend to be less accurate in PD detection than other articulatory approaches proposed in previous studies. Finally, results suggest the complementarity between the studied articulatory and phonatory approaches is low
Internacional
Si
Nombre congreso
MAVEBA
Tipo de participación
960
Lugar del congreso
Florencia, Italia
Revisores
Si
ISBN o ISSN
978-88-6453-951-5
DOI
Fecha inicio congreso
17/12/2019
Fecha fin congreso
19/12/2019
Desde la página
33
Hasta la página
36
Título de las actas
MODELS AND ANALYSIS OF VOCAL EMISSIONS FOR BIOMEDICAL APPLICATIONS 11th INTERNATIONAL WORKSHOP
Esta actividad pertenece a memorias de investigación
Participantes
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Investigación en Bioingeniería y Optoelectrónica
  • Departamento: Ingeniería Audiovisual y Comunicaciones