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

TitleApplying Spectral Normalisation and Efficient Envelope Estimation and Statistical Transformation for the Voice Conversion Challenge 2016
Publication TypeConference Paper
Year of Publication2016
Conference NameInterspeech
AuthorsVillavicencio, F., Yamagishi J., Bonada J., & Espic F.
Pagination1657-61
Conference Start Date13/09/2016
Conference LocationSan Francisco, USA
AbstractIn 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 documenthttp://hdl.handle.net/10230/32891
Final publication10.21437/Interspeech.2016-305
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