NDLI: Pathological voice discrimination based on entropy measurements

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Pathological voice discrimination based on entropy measurements

Content Provider	ACM Digital Library
Author	Correia, Suzete Falcão, Hanniere Costa, Silvana Cunha Neto, Benedito G. Aguiar Almeida, Náthalee Fechine, Joseana Macêdo
Abstract	Digital signal processing techniques have been used to analyze vocal disorders caused by laryngeal pathologies. Laryngoscopical exams commonly used for detection of these diseases are invasive methods that cause discomfort to the patients. Because of its noninvasive nature, acoustical analysis of the temporal and spectral features of the voice signal can be used as an auxiliary technique in laringoscopical exams. This analysis may be applied for detection of vocal diseases and the evaluation of the vocal quality of patients subjected to surgical processes or medical treatments in the vocal folds. This work aims at investigating the behavior of entropy measures in disordered voices influenced by the presence of pathologies in the vocal folds. For this purpose, the Shannon entropy and the relative entropy are implemented, and their behavior for normal and pathological voices affected by vocal fold edemas is observed. The measurement of the entropy efficiency in discriminating between normal and pathological voices is obtained.
Starting Page	1424
Ending Page	1425
Page Count	2
File Format	PDF
ISBN	9781595937537
DOI	10.1145/1363686.1364016
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2008-03-16
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Vocal fold pathologies Entropy Speech processing
Content Type	Text
Resource Type	Article

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