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Title: Automatic detection of pathologies in the voice by HOS based parameters
Authors: Alonso, Jesus B. 
De Leon, José
Alonso González, Itziar Goretti 
Ferrer, Miguel A. 
UNESCO Clasification: 3307 Tecnología electrónica
Keywords: Automatic detection of dysfunction Voice quality Speech processing Laryngeal pathology
Issue Date: 2001
Publisher: 1110-8657
Journal: Eurasip Journal on Applied Signal Processing 
Abstract: In the current panorama the conclusive identification of a laryngeal pathology relies inevitably on the observation of the vocal folds by means of laryngoscopical techniques. This inspection technique is inconvenient for a number of reasons, such as its high cost, the duration of the inspection, and, above all, the fact that it is an invasive technique. This paper looks into the possibility of measuring the quality of a voice starting from an audio recording. The existing parameters in current literature ("classic parameters") which allow quantifying the quality of a voice have been studied, and the parameters that present better results have been selected. Also, seven new high order statistics (HOS) based parameters are proposed to parameterize the voice signal. On the other hand, a software package has been developed which carries out the automatic detection of dysfunction in phonation. A success rate of 98.3% has been obtained by using both the classic and the HOS based proposed parameters.
ISSN: 1110-8657
DOI: 10.1155/S1110865701000336
Source: Eurasip Journal on Applied Signal Processing[ISSN 1110-8657],v. 2001, p. 275-284
Appears in Collections:Actas de congresos
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