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

Tipo de documento: Comunicación/Ponencia

Versión: Versión publicada

Fecha: 2016

Nombre: Villavicencio_Int ...

Tamaño: 274.4Kb

Formato: PDF

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Citación: 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

Enlace permanente: http://hdl.handle.net/10230/32891

Descripción:

Comunicació presentada a l'Interspeech 2016, celebrat els dies 8 a 12 de setembre de 2016 a San Francisco, California.

Resumen:

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 ...