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Improvements of the One-to-Many Eigenvoice Conversion System

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dc.contributor.author Yamato Ohtani en
dc.contributor.author Tomoki Toda en
dc.contributor.author Hiroshi Saruwatari en
dc.contributor.author Kiyohiro Shikano en
dc.date.accessioned 2012-07-05T07:00:52Z en
dc.date.available 2012-07-05T07:00:52Z en
dc.date.issued 2010-09 en
dc.identifier.issn 0916-8532 en
dc.identifier.uri http://hdl.handle.net/10061/7846 en
dc.description.abstract We have developed a one-to-many eigenvoice conversion (EVC) system that allows us to convert a single source speaker's voice into an arbitrary target speaker's voice using an eigenvoice Gaussian mixture model (EV-GMM). This system is capable of effectively building a conversion model for an arbitrary target speaker by adapting the EV-GMM using only a small amount of speech data uttered by the target speaker in a text-independent manner. However, the conversion performance is still insufficient for the following reasons: 1) the excitation signal is not precisely modeled; 2) the oversmoothing of the converted spectrum causes muffled sounds in converted speech; and 3) the conversion model is affected by redundant acoustic variations among a lot of pre-stored target speakers used for building the EV-GMM. In order to address these problems, we apply the following promising techniques to one-to-many EVC: 1) mixed excitation; 2) a conversion algorithm considering global variance; and 3) adaptive training of the EV-GMM. The experimental results demonstrate that the conversion performance of one-to-many EVC is significantly improved by integrating all of these techniques into the one-to-many EVC system. en
dc.language.iso en en
dc.publisher 電子情報通信学会 ja
dc.rights Copyright (C) 2010 電子情報通信学会. ja
dc.subject speech synthesis en
dc.subject eigenvoice conversion en
dc.subject STRAIGHT mixed excitation en
dc.subject global variance en
dc.subject adaptive training en
dc.title Improvements of the One-to-Many Eigenvoice Conversion System en
dc.type.nii Journal Article en
dc.textversion publisher en
dc.identifier.ncid AA10826272 en
dc.identifier.jtitle IEICE Transactions on Information and Systems en
dc.identifier.volume E93-D en
dc.identifier.issue 9 en
dc.identifier.spage 2491 en
dc.identifier.epage 2499 en
dc.relation.doi 10.1587/transinf.E93.D.2491 en
dc.identifier.url https://search.ieice.org/ en
dc.identifier.NAIST-ID 73292716 en


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