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Voice conversion based on state-space model for modelling spectral trajectory

Voice conversion based on state-space model for modelling spectral trajectory

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  • Author(s): N. Xu 1 ; Z. Yang 1 ; L.H. Zhang 1 ; W.P. Zhu 1 ; J.Y. Bao 2
    • View affiliations
    • Affiliations: 1: Institute of Signal Processing and Transmission, Nanjing University of Posts and Telecommunications, Nanjing, People's Republic of China
      2: School of Electronic Information and Electric Engineering, Changzhou Institute of Technology, People's Republic of China
  • Source: Volume 45, Issue 14, 2 July 2009, p. 763 – 764
    DOI:  10.1049/el.2009.0904 , Print ISSN 0013-5194, Online ISSN 1350-911X
© The Institution of Engineering and Technology
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A novel voice conversion (VC) method using a state-space model (SSM) is presented. The SSM, which has never been shown before in the context of VC, has the advantage of explicitly modelling spectral parameter trajectory. Thus, it will be superior to the conventional Gaussian mixture model (GMM)-based method, where the conversion algorithm is performed on a frame-by-frame procedure, ignoring the correlation between adjacent frames. Experiments using both objective and subjective measurements show that the proposed SSM-based method significantly outperforms the traditional GMM-based technique in the view of both speech quality and conversion accuracy for speaker individuality.

Inspec keywords: speech processing; Gaussian processes

Other keywords: voice conversion; spectral trajectory; speaker individuality; Gaussian mixture model; state-space model

Subjects: Speech processing techniques; Other topics in statistics; Other topics in statistics; Speech and audio signal processing

References

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