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
  • Biomedicine,
  • Electronic technology and of the communications
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
9th International Workshop Models and Analysis of Voice Emissions for Biomedical Applications (MAVEBA 2015)
960
Place
Reviewers
Si
ISBN/ISSN
978-88-6655-792-0
Start Date
31/08/2015
End Date
04/09/2015
From page
25
To page
28
Proceedings of the 9th International Workshop Models and Analysis of Voice Emissions for Biomedical Applications (MAVEBA 2015)
Participants
  • Autor: Laureano Moro Velazquez (UPM)
  • Autor: Jorge Antonio Gómez García (Independiente)
  • Autor: Juan Ignacio Godino Llorente (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Informática Aplicada al Procesado de Señal e Imagen
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