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Linear Transformation Approaches to Many-to-One Voice Conversion

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dc.contributor.author Chie Hayashida en
dc.contributor.author Tomoki Toda en
dc.contributor.author Yamato Ohtani en
dc.contributor.author Hiroshi Saruwatari en
dc.contributor.author Kiyohiro Shikano en
dc.date.accessioned 2012-08-22T07:59:02Z en
dc.date.available 2012-08-22T07:59:02Z en
dc.date.issued 2010-09 en
dc.identifier.issn 1680-8908 en
dc.identifier.uri http://hdl.handle.net/10061/8272 en
dc.description SSW7: the 7th ISCA Speech Synthesis Workshop, September 22-24, 2010, Kyoto, Japan. en
dc.description.abstract In this paper, we present linear transformation algorithms for many-to-one voice conversion (VC). Many-to-one VC is a technique for converting an arbitrary source speaker’s voice into the target speaker’s voice. A conversion model previously developed between many prestored source speakers and the target speaker is adapted into a new source speaker in an unsupervised 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. ja
dc.language.iso en en
dc.subject many-to-one voice conversion en
dc.subject Gaussian mixture model en
dc.subject unsupervised adaptation en
dc.subject linear transformation en
dc.title Linear Transformation Approaches to Many-to-One Voice Conversion en
dc.type.nii Conference Paper en
dc.textversion Publisher en
dc.identifier.spage 74 en
dc.identifier.epage 79 en
dc.identifier.NAIST-ID 73292716 en


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