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Applying Spectral Normalisation and Efficient Envelope Estimation and Statistical Transformation for the Voice Conversion Challenge 2016

Title Applying Spectral Normalisation and Efficient Envelope Estimation and Statistical Transformation for the Voice Conversion Challenge 2016
Publication Type Conference Paper
Year of Publication 2016
Conference Name Interspeech
Authors Villavicencio, F. , Yamagishi J. , Bonada J. , & Espic F.
Pagination 1657-61
Conference Start Date 13/09/2016
Conference Location San Francisco, USA
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.
preprint/postprint document http://hdl.handle.net/10230/32891
Final publication 10.21437/Interspeech.2016-305