Evaluation of VTLN-based voice conversion for embedded speech synthesis

نویسندگان

  • David Suendermann-Oeft
  • Guntram Strecha
  • Antonio Bonafonte
  • Harald Höge
  • Hermann Ney
چکیده

Recently, we demonstrated that vocal tract length normalization (VTLN) can be applied to voice conversion tasks. In particular, when the conversion algorithm is performed in time domain, this technique is very resource-efficient and, consequently, suitable for embedded applications. In this paper, we use VTLNbased voice conversion as a novel feature of a small footprint speech synthesizer running on mobile devices. The characteristics of this feature are investigated by means of extensive subjective tests.

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تاریخ انتشار 2005