DocumentCode :
2290501
Title :
Analysis of Voice Pathology Evolution Using Entropy Rate
Author :
Scalassara, Paulo Rogério ; Dajer, María Eugenia ; Marrara, Jamille Lays ; Maciel, Carlos Dias ; Pereira, José Carlos
Author_Institution :
Sch. of Eng. of Sao Carlos, Univ. of Sao Paulo, Sao Carlos
fYear :
2008
fDate :
15-17 Dec. 2008
Firstpage :
580
Lastpage :
585
Abstract :
In the last years the use of voice acoustical analysis has increased much. Also, other techniques are being applied, such as nonlinear methods and comparison of quantities obtained from information theory. The latter is the case of this paper, we analyze characteristics of the entropy rate curve and its asymptote to acquire knowledge about the evolution of pathological voice signals. Specifically signals from patients with nodule in the vocal folds. The analysis provided some differences between nodule and healthy signals that may be related to the level of evolution of the pathology.
Keywords :
acoustic signal processing; entropy; medical signal processing; speech processing; entropy rate curve; healthy signal; nodule signal; pathological voice signal; patient; vocal folds; voice acoustical analysis; voice pathology evolution; Acoustical engineering; Entropy; Humans; Information theory; Jitter; Larynx; Pathology; Signal analysis; Space technology; Speech analysis; Entropy rate; nodule; pathology; voice;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia, 2008. ISM 2008. Tenth IEEE International Symposium on
Conference_Location :
Berkeley, CA
Print_ISBN :
978-0-7695-3454-1
Electronic_ISBN :
978-0-7695-3454-1
Type :
conf
DOI :
10.1109/ISM.2008.66
Filename :
4741230
Link To Document :
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