@inproceedings{649097ba89da4a66b4a71179d909f892,
title = "Detection of pathological diseases using a parametric model of vocal folds and neural networks",
abstract = "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 speaker{\textquoteright}s 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.",
keywords = "Glottal pulse, Model, Pathological voice",
author = "P. Chytil and C. Jo and K. Drake and D. Graville and M. Wax and M. Pavel",
note = "Publisher Copyright: {\textcopyright} Firenze university press, 2007.; 5th International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, MAVEBA 2007 ; Conference date: 13-12-2007 Through 15-12-2007",
year = "2007",
language = "English (US)",
series = "5th International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, MAVEBA 2007",
publisher = "Firenze University Press",
pages = "71--74",
booktitle = "5th International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications, MAVEBA 2007",
address = "Italy",
}