Speech identity conversion

  • Authors:
  • Martin Vondra;Robert Vích

  • Affiliations:
  • Brno University of Technology, Brno, Czech Republic;Institute of Radio Engineering and Electronics, Academy of Sciences of the Czech Republic, Prague 8, Czech Republic

  • Venue:
  • Nonlinear Speech Modeling and Applications
  • Year:
  • 2005

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Abstract

In this paper a new voice conversion algorithm will be presented, which transforms the utterance of a source speaker into the utterance of a target speaker or into the utterance of a new unknown speaker. Presented voice conversion algorithm is based on spectral speech analysis, spectral envelope warping, spectrum interpolation and parametrical high quality IIR or FIR cepstral speech synthesis. Several approaches to frequency warping of the speech spectrum are compared, e.g. linear frequency transformation, piecewise linear frequency modification and nonlinear frequency low-pass to low-pass transformation. Prosodic transformation i.e. fundamental frequency, time and intensity scale modifications are not mentioned.