Dysphonia Detection based on modulation spectral features and cepstral coefficients

Markaki, Maria and Stylianou, Y. and Arias Londoño, Julian and Godino Llorente, Juan Ignacio (2010). Dysphonia Detection based on modulation spectral features and cepstral coefficients. In: "IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2010", 14/03/2010 - 19/03/2010, Dallas, EEUU. ISBN 978-1-4244-4295-9.

Description

Title: Dysphonia Detection based on modulation spectral features and cepstral coefficients
Author/s:
  • Markaki, Maria
  • Stylianou, Y.
  • Arias Londoño, Julian
  • Godino Llorente, Juan Ignacio
Item Type: Presentation at Congress or Conference (Unspecified)
Event Title: IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2010
Event Dates: 14/03/2010 - 19/03/2010
Event Location: Dallas, EEUU
Title of Book: Proceedingso f the IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2010
Date: June 2010
ISBN: 978-1-4244-4295-9
Subjects:
Faculty: E.U.I.T. Telecomunicación (UPM)
Department: Ingeniería de Circuitos y Sistemas [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

In this paper, we combine modulation spectral features with mel-frequency cepstral coefficients for automatic detection of dysphonia. For classification purposes, dimensions of the original modulation spectra are reduced using higher order singular value decomposition (HOSVD). Most relevant features are selected based on their mutual information to discrimination between normophonic and dysphonic speakers made by experts. Features that highly correlate with voice alterations are associated then with a support vector machine (SVM) classifier to provide an automatic decision. Recognition experiments using two different databases suggest that the system provides complementary information to the standard mel-cepstral features

More information

Item ID: 7641
DC Identifier: http://oa.upm.es/7641/
OAI Identifier: oai:oa.upm.es:7641
Official URL: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5495020
Deposited by: Memoria Investigacion
Deposited on: 04 Jul 2011 09:34
Last Modified: 20 Apr 2016 16:43
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