Fifth International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications (MAVEBA 2007)
Pathology detection by the analysis of voice
remained a challenging objective during last years
research. Former studies have shown that the glottal
signature defined on the glottal source spectral density
contains helpful hints in determining the healthy or
pathological condition of the subject. Therefore a
good reconstruction of the glottal source after
removing the vocal tract is essential for the study.
Nevertheless it may be shown that gender is also
strongly influencing this glottal signature. Therefore
comparisons and clustering between healthy and
pathological glottal signatures should have into
account the patients gender. Through the present
paper a new scheme for pathology detection is
presented based on a priori determining the subjects
gender. Results from a database of healthy and
pathological subjects are given to contribute in this
sense. A study case is presented as an example in
visualizing the interest of the approach.
Index Terms. Glottal Signature, Gender Detection, Pathology Detection
Full Paper (reprinted with permission from Firenze University Press)
Bibliographic reference. Gómez-Vilda, Pedro / Fernández-Baíllo, Roberto / Martínez, R. / Muñoz, C. / Mazaira, L. M. / Álvarez, A. / Godino-Llorente, Juan Ignacio (2007): "Detecting pathology in the glottal spectral signature of female voice", In MAVEBA-2007, 183-186.