Um Novo Método Usando Autocorrelação para Extração da Freq¨uência Fundamental em Sinais de Voz

Authors

  • A.S. Brandão
  • E. Cataldo
  • F.R. Leta

DOI:

https://doi.org/10.5540/tema.2007.08.02.0191

Abstract

Este artigo descreve o algoritmo de extração da freqüência fundamental do sinal de voz usado na implementação do programa P-NAV (Programa Neuro Analizador Vocal), por Brandão (2006). O método proposto toma como base o algoritmo descrito por Boersma (1993), que usa o método da autocorrelação, e desenvolve quatro algoritmos obtendo, com isso, um método mais robusto para marcar corretamente os períodos do sinal de voz, mesmo em trechos severamente perturbados e diplofônicos.

References

P. Boersma, Accurate short-term analysis of the fundamental frequency and the harmonics-to-noise ratio of a sampled sound, IFA Proceedings, 17 (1993), 97-110.

A. Brandão, F.R. Leta, Usando redes neurais para classificação de padrões de voz, em “XXVII CNMAC - Congresso Nacional de Matemática Aplicada e Computacional”, SBMAC, 2005.

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L.R. Rabiner, et al., A comparative performance study of several pitch detection algorithms, IEEE Transactions on Acoustics, Speech, and Signal Processing, ASSP-24, No. 5 (1976).

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Published

2007-08-13

How to Cite

Brandão, A., Cataldo, E., & Leta, F. (2007). Um Novo Método Usando Autocorrelação para Extração da Freq¨uência Fundamental em Sinais de Voz. Trends in Computational and Applied Mathematics, 8(2), 191–200. https://doi.org/10.5540/tema.2007.08.02.0191

Issue

Vol. 8 No. 2 (2007)

Section

Original Article

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