Fifth International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications (MAVEBA 2007)
There are a number of clinical conditions
that affect directly or indirectly the function of the
vocal folds and thereby the pressure waveforms of
elicited sounds. If the relationships between the
clinical conditions and the voice quality are
sufficiently reliable, it should be possible to detect
these diseases or disorders. The focus of this paper is
to determine the set of features and their values that
would characterize the speakers state of vocal folds.
To the extent that these features can capture the
anatomical, physiological, and neurological aspects of
the speaker they can be potentially used to mediate an
unobtrusive approach to diagnosis. We will show a
new approach to this problem, supported with results
obtained from two disordered voice corpora.
Index Terms. Model, glottal pulse, pathological voice
Full Paper (reprinted with permission from Firenze University Press)
Bibliographic reference. Chytil, P. / Jo, Cheolwoo / Drake, K. / Graville, D. / Wax, M. / Pavel, M. (2007): "Detection of pathological diseases using a parametric model of vocal folds and neural networks", In MAVEBA-2007, 71-74.