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 patient’s gender. Through the present paper a new scheme for pathology detection is presented based on a priori determining the subject’s 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
Cite as: Gómez-Vilda, P., Fernández-Baíllo, R., Martínez, R., Muñoz, C., Mazaira, L.M., Álvarez, A., Godino-Llorente, J.I. (2007) Detecting pathology in the glottal spectral signature of female voice. Proc. Models and Analysis of Vocal Emissions for Biomedical Applications (MAVEBA 2007), 183-186
@inproceedings{gomezvilda07_maveba,
author={Pedro Gómez-Vilda and Roberto Fernández-Baíllo and R. Martínez and C. Muñoz and L. M. Mazaira and A. Álvarez and Juan Ignacio Godino-Llorente},
title={{Detecting pathology in the glottal spectral signature of female voice}},
year=2007,
booktitle={Proc. Models and Analysis of Vocal Emissions for Biomedical Applications (MAVEBA 2007)},
pages={183--186}
}