Ponencias en congresos:
Analyzing training dependencies and posterior fusion in discriminant classification of apnoea patients based on sustained and connected speech
Analyzing training dependencies and posterior fusion in discriminant classification of apnoea patients based on sustained and connected speech
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 using both sustained vowels and connected speech, to detect obstructive sleep apnea (OSA) cases within a homogeneous group of speakers. The proposed scheme is based on state-of-the-art GMM-based classifiers, and acknowledges specifically the way in which acoustic models are trained on standard databases, as well as the complexity of the resulting models and their adaptation to specific data. Our experimental database contains a suitable number of utterances and sustained speech from healthy (i.e control) and OSA Spanish speakers. Finally, a 25.1% relative reduction in classification error is achieved when fusing continuous and sustained speech classifiers. Index Terms: obstructive sleep apnea (OSA), gaussian mixture models (GMMs), background model (BM), classifier fusion. | |
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Internacional
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Si |
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Nombre congreso
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12th Annual Conference of the International Speech Communication Association, INTERSPEECH 2011 |
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Tipo de participación
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960 |
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Lugar del congreso
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Revisores
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Si |
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ISBN o ISSN
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1990-9772 |
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DOI
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Fecha inicio congreso
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27/08/2011 |
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Fecha fin congreso
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31/08/2011 |
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Desde la página
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3033 |
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Hasta la página
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3036 |
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Título de las actas
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12th Annual Conference of the International Speech Communication Association, INTERSPEECH 2011 |
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Participantes
- Autor: Jose Luis Blanco Murillo (UPM)
- Autor: Rubén Fernández Pozo (UPM)
- Autor: Doroteo Torre Toledano (Universidad Autónoma de Madrid)
- Autor: Fco Javier Caminero Gil (Telefónica I+D)
- Autor: Eduardo Lopez Gonzalo (UPM)
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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