Padrões visuais de sinais de voz aravés de técnica de análise não linear / Voice signal discrimination with nonlinear analysis techniques

AUTOR(ES)

Maria Eugenia Dájer

DATA DE PUBLICAÇÃO

2006

RESUMO

Human voice has been the focus of study for different areas of science. Researches in the last two decades have demonstrated the existence of chaos in human voice production. The purpose of this work is to use nonlinear dynamics techniques in the analysis of normal voices from healthy subjects and correlate them to traditional acoustic parameters as well as perceptual analysis. Human voice signals from healthy subjects, both male and female, ranging in age from 19 to 39 years old were analyzed. Sustained vowel sounds /a/, /e/ and /i/, from brazilian Portuguese were recorded at a sampling rate of 22,050 Hz and analyzed in order to obtain acoustic measures (Jitter, Shimmer and coefficient of excess – EX). The phase space reconstruction technique was used to describe the nonlinear dynamic characteristics of voice signal samples. The results show, that non-linear dynamical method as phase space reconstruction seems to be a suitable technique for voice signals analysis, due to the chaotic component of the human voice. It is suggested, that non-linear dynamic analysis does not replace existing techniques instead, it may improve and complement the recent voice analysis methods available for health professionals, speech therapist and clinician

ASSUNTO(S)

voice analysis análise de voz deterministic chaos temporal series caos determinístico nonlinear analysis análise não linear séries temporais

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