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

Villavicencio, Fernando; Yamagishi, Junichi; Bonada, Jordi, 1973-; Espic, Felipe

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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