Ponencias en congresos:
Introducing non-linear analysis into sustained speech characterization to improve sleep apnea detection
Introducing non-linear analysis into sustained speech characterization to improve sleep apnea detection
Año:2011
Áreas de investigación
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Procesado y análisis de la señal
Datos
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Descripción
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| 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. | |
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Internacional
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Si |
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Nombre congreso
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NOLISP 2011 : NOn LInear Speech Processing |
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Tipo de participación
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960 |
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Lugar del congreso
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Las Palmas de Gran Canaria, Spain |
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Revisores
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Si |
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ISBN o ISSN
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978-3-642-25019-4 |
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DOI
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Fecha inicio congreso
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07/11/2011 |
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Fecha fin congreso
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08/11/2011 |
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Desde la página
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1 |
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Hasta la página
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9 |
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Título de las actas
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International Conference on Nonlinear Speech Processing, NOLISP 2011 |
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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
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