C Conferentia Proceedings
NSC2016-0066 Time Series Analysis

Estimation of pitch period in voice signals using Poincaré sections

Fernando Araujo de Andrade Sobrinho1; Maria Eugênia Dajer2; Luis Fernando Costa Alberto3

1 Instituto Federal de Educação, Ciência e Tecnologia do Sul de Minas Gerais, Poços de Caldas, Brazil; 2 2Universidade Tecnológica Federal do Paraná , Cornélio Procópio, Brazil; 3 3Universidade de São Paulo, São Carlos, Brazil

doi:10.20906/CPS/NSC2016-0066

Resumo

Researchers reported instability in children voices due to physiological changes in laryngeal structures. The aim of this paper is to detect the Fundamental frequency F0 of healthy children voices using Poincaré Section technique (PST). The statistic T-test indicates thatmeasures of F0 using PST are compatible with those obtained with Fourier transform. Results indicate that PST is a promising tool for F0 analysis with the advantage of determining a fundamental frequency even in high nonlinear and non-periodic signals.

Palavras-chave: Time Series Analysis; Analysis and Control of Nonlinear Dynamical Systems with Practical Applications; Synchronization in Nonlinear Systems; Poincare Section; Nonlinear analysis

Como citar

Fernando Araujo de Andrade Sobrinho; Maria Eugênia Dajer; Luis Fernando Costa Alberto. “Estimation of pitch period in voice signals using Poincaré sections”. 6th International Conference on Nonlinear Science and Complexity. NSC2016. 2016. DOI: 10.20906/CPS/NSC2016-0066