Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Tuning of modulation spectrum parameters for voice pathology detection
Year:2015
Research Areas
  • Information technology and adata processing
Information
Abstract
Acoustic parameters are frequently used to assess the presence of pathologies in human voice. Many of them have demonstrated to be useful but in some cases its results could be optimized by selecting appropriate working margins. In this study two indices, CIL and RALA, obtained from Modulation Spectra are described and tuned using different frame lengths and frequency ranges to maximize AUC in normal to pathological voice detection. After the tuning process, AUC reaches 0.96 and 0.95 values for CIL and RALA respectively representing an improvement of 16 % and 12 % at each case respect to the typical tuning based only on frame length selection.
International
Si
Congress
Models and Analysis of Vocal Emissions for Biomedical Applications (MAVEBA)
960
Place
Florencia - ITALIA
Reviewers
Si
ISBN/ISSN
978-88-6655-792-0
Start Date
02/09/2015
End Date
04/09/2015
From page
25
To page
28
Models and Analysis of Vocal Emissions for Biomedical Applications (MAVEBA) - 9th International Workshop
Participants
  • Autor: Laureano Moro Velazquez (UPM)
  • Autor: Jorge Andres Gomez Garcia (UPM)
  • Autor: Juan Ignacio Godino Llorente (UPM)
Research Group, Departaments and Institutes related
  • Creador: Departamento: Teoría de la Señal y Comunicaciones (Provisional)
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