Observatorio de I+D+i UPM

Memorias de investigación
Ponencias en congresos:
Introducing non-linear analysis into sustained speech characterization to improve sleep apnea detection
Año:2011
Áreas de investigación
  • Procesado y análisis de la señal
Datos
Descripción
We present a novel approach for detecting severe obstructive sleep apnea (OSA) cases by introducing non-linear analysis into sustained speech characterization. The proposed scheme was designed for providing additional information into our baseline system, built on top of state-of-the-art cepstral domain modeling techniques, aiming to improve accuracy rates. This new information is lightly correlated with our previous MFCC modeling of sustained speech and uncorrelated with the information in our continuous speech modeling scheme. Tests have been performed to evaluate the improvement for our detection task, based on sustained speech as well as combined with a continuous speech classifier, resulting in a 10% relative reduction in classification for the first and a 33% relative reduction for the fused scheme. Results encourage us to consider the existence of non-linear effects on OSA patients? voices, and to think about tools which could be used to improve short-time analysis.
Internacional
Si
Nombre congreso
NOLISP 2011 : NOn LInear Speech Processing
Tipo de participación
960
Lugar del congreso
Las Palmas de Gran Canaria, Spain
Revisores
Si
ISBN o ISSN
978-3-642-25019-4
DOI
Fecha inicio congreso
07/11/2011
Fecha fin congreso
08/11/2011
Desde la página
1
Hasta la página
9
Título de las actas
International Conference on Nonlinear Speech Processing, NOLISP 2011
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Jose Luis Blanco Murillo (UPM)
  • Autor: Luis Alfonso Hernandez Gomez (UPM)
  • Autor: Rubén Fernández Pozo (UPM)
  • Autor: Daniel Ramos (Universidad Autónoma de Madrid)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Aplicaciones del Procesado de Señal (GAPS)
  • Departamento: Señales, Sistemas y Radiocomunicaciones
S2i 2021 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
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