Introducing non-linear analysis into sustained speech characterization to improve sleep apnea detection

Blanco Murillo, José Luis and Hernández Gómez, Luis Alfonso (2011). Introducing non-linear analysis into sustained speech characterization to improve sleep apnea detection. In: "NOLISP'11 Proceedings of the 5th international conference on Advances in nonlinear speech processing", 07/11/2011 - 08/11/2011, Las Palmas de Gran Canaria, España. ISBN 978-3-642-25019-4. pp. 1-9.

Description

Title: Introducing non-linear analysis into sustained speech characterization to improve sleep apnea detection
Author/s:
  • Blanco Murillo, José Luis
  • Hernández Gómez, Luis Alfonso
Item Type: Presentation at Congress or Conference (Article)
Event Title: NOLISP'11 Proceedings of the 5th international conference on Advances in nonlinear speech processing
Event Dates: 07/11/2011 - 08/11/2011
Event Location: Las Palmas de Gran Canaria, España
Title of Book: Proceedings of NOLISP'11 Proceedings of the 5th international conference on Advances in nonlinear speech processing
Date: 2011
ISBN: 978-3-642-25019-4
Subjects:
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Señales, Sistemas y Radiocomunicaciones
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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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.

More information

Item ID: 12939
DC Identifier: http://oa.upm.es/12939/
OAI Identifier: oai:oa.upm.es:12939
Official URL: http://www.springer.com/computer/image+processing/book/978-3-642-25019-4
Deposited by: Memoria Investigacion
Deposited on: 12 Dec 2012 16:12
Last Modified: 21 Apr 2016 12:15
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