Wavelet-based cepstrum calculation

  • Authors:

  • Fabrício Lopes Sanchez;Sylvio Barbon, Júnior;Lucimar Sasso Vieira;Rodrigo Capobianco Guido;Everthon Silva Fonseca;Paulo Rogério Scalassara;Carlos Dias Maciel;José Carlos Pereira;Shi-Huang Chen

  • Affiliations:

  • Department of Bioengineering, University of São Paulo, USP, São Carlos, São Paulo, 13566-590, Brazil;Institute of Physics of São Carlos - University of São Paulo, USP, São Carlos, São Paulo, 13566-590, Brazil;Institute of Physics of São Carlos - University of São Paulo, USP, São Carlos, São Paulo, 13566-590, Brazil;Institute of Physics of São Carlos - University of São Paulo, USP, São Carlos, São Paulo, 13566-590, Brazil;Department of Electrical Engineering, School of Engineering at São Carlos - University of São Paulo, USP, São Carlos, São Paulo 13566-590, Brazil;Department of Electrical Engineering, School of Engineering at São Carlos - University of São Paulo, USP, São Carlos, São Paulo 13566-590, Brazil;Department of Electrical Engineering, School of Engineering at São Carlos - University of São Paulo, USP, São Carlos, São Paulo 13566-590, Brazil;Department of Electrical Engineering, School of Engineering at São Carlos - University of São Paulo, USP, São Carlos, São Paulo 13566-590, Brazil;Department of Computer Science and Information Engineering, Shu-Te University, Kaohsiung County, 824, Taiwan, ROC

  • Venue:
  • Journal of Computational and Applied Mathematics
  • Year:
  • 2009

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Abstract

In this paper we present a new wavelet-based algorithm for low-cost computation of the cepstrum. It can be used for real time precise pitch determination in automatic speech and speaker recognition systems. Many wavelet families are examined to determine the one that works best. The results confirm the efficacy and accuracy of the proposed technique for pitch extraction.