Title :
Analysis of normal and pathological voices via short-time fractal dimension
Author :
Accardo, A. ; Fabbro, F. ; Mumolo, E.
Author_Institution :
Dip. di Elettrotec., Elettron. ed Inf., Univ. di Trieste, Trieste, Italy
fDate :
Oct. 29 1992-Nov. 1 1992
Abstract :
Normal and pathological voices have been analyzed by means of the fractal dimension parameter. This representation come out to be effective in classifying voices.
Keywords :
acoustic signal processing; fractals; medical disorders; medical signal processing; neurophysiology; signal classification; neurological disorders; pathological voices; short-time fractal dimension; voice classification; Fractals; Speech;
Conference_Titel :
Engineering in Medicine and Biology Society, 1992 14th Annual International Conference of the IEEE
Conference_Location :
Paris
Print_ISBN :
0-7803-0785-2
Electronic_ISBN :
0-7803-0816-6
DOI :
10.1109/IEMBS.1992.5761778
