Memorias de investigación
Communications at congresses:
Introducing non-linear analysis into sustained speech characterization to improve sleep apnea detection
Year:2011
Research Areas
  • Processing and signal analysis
Information
Abstract
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.
International
Si
Congress
NOLISP 2011 : NOn LInear Speech Processing
960
Place
Las Palmas de Gran Canaria, Spain
Reviewers
Si
ISBN/ISSN
978-3-642-25019-4
Start Date
07/11/2011
End Date
08/11/2011
From page
1
To page
9
International Conference on Nonlinear Speech Processing, NOLISP 2011
Participants
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Aplicaciones del Procesado de Señal (GAPS)
  • Departamento: Señales, Sistemas y Radiocomunicaciones