Memorias de investigación
Ponencias en congresos:
Analyzing training dependencies and posterior fusion in discriminant classification of apnoea patients based on sustained and connected speech
Año:2011
Áreas de investigación
  • Procesado y análisis de la señal
Datos
Descripción
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.
Internacional
Si
Nombre congreso
12th Annual Conference of the International Speech Communication Association, INTERSPEECH 2011
Tipo de participación
960
Lugar del congreso
Revisores
Si
ISBN o ISSN
1990-9772
DOI
Fecha inicio congreso
27/08/2011
Fecha fin congreso
31/08/2011
Desde la página
3033
Hasta la página
3036
Título de las actas
12th Annual Conference of the International Speech Communication Association, INTERSPEECH 2011
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 Aplicaciones del Procesado de Señal (GAPS)
  • Departamento: Señales, Sistemas y Radiocomunicaciones