Digital signal processing in the differential diagnosis of benign larynx diseases [Abstract in English]

Iuberi Carson Zwetsch, Rubem Dutra Ribeiro Fagundes, Thais Russomano, Diogo Scolari


Aims: To present a new Digital Signal Processing
procedure to evaluate voice disorders, specifically those
related to the benign larynx diseases.

Methods: Recorded acoustic signals of normal and abnormal voices of outpatients subjected to videolaryngoscopy had been digitalized for the study of the alterations in vocal acoustics. Window and cepstral analysis were applied on these signals.

Results: Through the observation of the different
alterations in the voices, it was possible to develop a set of
parameters of analysis that allowed a coherent diagnosis of
larynx alterations, based in the cepstral findings. Cases
randomly selected, who had not participated of the study,
had been identified only through the information of
the set of parameters, with 80% of rightness, significantly
validating the method.

Conclusions: This computing method is very efficient and non-invasive, successfully identifying vocal alterations by cepstral analysis.


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