A neural-wavelet architecture for voice conversion

  • Authors:

  • Rodrigo Capobianco Guido;Lucimar Sasso Vieira;Sylvio Barbon Júnior;Fabrício Lopes Sanchez;Carlos Dias Maciel;Everthon Silva Fonseca;José Carlos Pereira

  • Affiliations:

  • SpeechLab/FFI/IFSC/USP-Department of Physics and Informatics, Institute of Physics at São Carlos,University of São Paulo, Avenida Trabalhador São Carlense 400, 13560-970 São Ca ...;SpeechLab/FFI/IFSC/USP-Department of Physics and Informatics, Institute of Physics at São Carlos,University of São Paulo, Avenida Trabalhador São Carlense 400, 13560-970 São Ca ...;SpeechLab/FFI/IFSC/USP-Department of Physics and Informatics, Institute of Physics at São Carlos,University of São Paulo, Avenida Trabalhador São Carlense 400, 13560-970 São Ca ...;SEL/EESC/USP-Department of Electrical Engineering, School of Engineering at São Carlos, University of São Paulo, Avenida Trabalhador São Carlense 400, 13560-970 São Carlos, SP, ...;SEL/EESC/USP-Department of Electrical Engineering, School of Engineering at São Carlos, University of São Paulo, Avenida Trabalhador São Carlense 400, 13560-970 São Carlos, SP, ...;SEL/EESC/USP-Department of Electrical Engineering, School of Engineering at São Carlos, University of São Paulo, Avenida Trabalhador São Carlense 400, 13560-970 São Carlos, SP, ...;SEL/EESC/USP-Department of Electrical Engineering, School of Engineering at São Carlos, University of São Paulo, Avenida Trabalhador São Carlense 400, 13560-970 São Carlos, SP, ...

  • Venue:
  • Neurocomputing
  • Year:
  • 2007

Quantified Score

Hi-index 0.01

Visualization

Abstract

In this letter we propose a new architecture for voice conversion that is based on a joint neural-wavelet approach. We also examine the characteristics of many wavelet families and determine the one that best matches the requirements of the proposed system. The conclusions presented in theory are confirmed in practice with utterances extracted from TIMIT speech corpus.