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Adaptive Voice-Quality Control Based on One-to-Many Eigenvoice Conversion

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dc.contributor.author Kumi Ohta 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 2012-08-22T07:58:55Z en
dc.date.available 2012-08-22T07:58:55Z en
dc.date.issued 2010-09 en
dc.identifier.uri http://hdl.handle.net/10061/8171 en
dc.description INTERSPEECH2010: 11th Annual Conference of the International Speech Communication Association, September 26-30, 2010, Chiba, Japan. en
dc.description.abstract This paper presents adaptive voice-quality control methods based on one-to-many eigenvoice conversion. To intuitively control the converted voice quality by manipulating a small number of control parameters, a multiple regression Gaussian mixture model (MR-GMM) has been proposed. The MR-GMM also allows us to estimate the optimum control parameters if target speech samples are available. However, its adaptation performance is limited because the number of control parameters is too small to widely model voice quality of various target speakers. To improve the adaptation performance while keeping capability of voice-quality control, this paper proposes an extended MR-GMM (EMR-GMM) with additional adaptive parameters to extend a subspace modeling target voice quality. Experimental results demonstrate that the EMR-GMM yields significant improvements of the adaptation performance while allowing us to intuitively control the converted voice quality. en
dc.language.iso en en
dc.rights Copyright 2010 ISCA en
dc.subject voice-quality control en
dc.subject voice conversion en
dc.subject eigenvoices en
dc.subject unsupervised adaptation en
dc.title Adaptive Voice-Quality Control Based on One-to-Many Eigenvoice Conversion en
dc.type.nii Conference Paper en
dc.textversion Publisher en
dc.identifier.spage 2158 en
dc.identifier.epage 2161 en
dc.identifier.NAIST-ID 73292716 en


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