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Applying spectral normalisation and efficient envelope estimation and statistical transformation for the voice conversion challenge 2016

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dc.contributor.author Villavicencio, Fernando
dc.contributor.author Yamagishi, Junichi
dc.contributor.author Bonada, Jordi, 1973-
dc.contributor.author Espic, Felipe
dc.date.accessioned 2017-10-10T08:14:24Z
dc.date.available 2017-10-10T08:14:24Z
dc.date.issued 2016
dc.identifier.citation Villavicencio F, Yamagishi J, Bonada J, Espic F. Applying spectral normalisation and efficient envelope estimation and statistical transformation for the voice conversion challenge 2016. In: Interspeech 2016; 2016 Sep 08-12; San Francisco (CA). [Baixas]: ISCA; 2016. p. 1657-61. DOI: 10.21437/Interspeech.2016-305
dc.identifier.uri http://hdl.handle.net/10230/32891
dc.description Comunicació presentada a l'Interspeech 2016, celebrat els dies 8 a 12 de setembre de 2016 a San Francisco, California.
dc.description.abstract In this work we present our entry for the Voice Conversion Challenge 2016, denoting new features to previous work on GMM-based voice conversion. We incorporate frequency warping and pitch transposition strategies to perform a normalisation of the spectral conditions, with benefits confirmed by objective and perceptual means. Moreover, the results of the challenge showed our entry among the highest performing systems in terms of perceived naturalness while maintaining the target similarity performance of GMM-based conversion.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher International Speech Communication Association (ISCA)
dc.relation.ispartof Interspeech 2016; 2016 Sep 08-12; San Francisco (CA). [Baixas]: ISCA; 2016. p. 1657-61.
dc.rights © 2016 ISCA
dc.title Applying spectral normalisation and efficient envelope estimation and statistical transformation for the voice conversion challenge 2016
dc.type info:eu-repo/semantics/conferenceObject
dc.identifier.doi http://dx.doi.org/10.21437/Interspeech.2016-305
dc.subject.keyword Voice conversion
dc.subject.keyword Speech synthesis
dc.subject.keyword Statistical spectral transformation
dc.subject.keyword Spectral envelope modeling
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion

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