Text-independent cross-language voice conversion

  title={Text-independent cross-language voice conversion},
  author={David Suendermann-Oeft and Harald H{\"o}ge and Antonio Bonafonte and Hermann Ney and Julia Hirschberg},
So far, cross-language voice conversion requires at least one bilingual speaker and parallel speech data to perform the training. This paper shows how these obstacles can be overcome by means of a recently presented text-independent training method based on unit selection. The new method is evaluated in the framework of the European speech-to-speech translation project TC-Star and achieves a performance similar to that of text-dependent intralingual voice conversion. 
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