Linear transformation approaches to many-to-one voice conversion

نویسندگان

  • Chie Hayashida
  • Tomoki Toda
  • Yamato Ohtani
  • Hiroshi Saruwatari
  • Kiyohiro Shikano
چکیده

In this paper, we present linear transformation algorithms for many to one voice conversion (VC). Many to one VC is a tech nique for converting an arbitrary source speaker’s voice into the target speaker’s voice. A conversion model previously devel oped between many prestored source speakers and the target speaker is adapted into a new source speaker in an unsuper vised manner. In this study, we implement several well known model adaptation techniques based on linear transformation for many to one VC and evaluate their effectiveness.

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تاریخ انتشار 2010