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Voice morphing using the generative topographic mapping

Abstract:
In this paper we address the problem of Voice Morphing. We attempt to transform the spectral characteristics of a source speaker's speech signal so that the listener would believe that the speech was uttered by a target speaker. The voice morphing system transforms the spectral envelope as represented by a Linear Prediction model. The transformation is achieved by codebook mapping using the Generative Topographic Mapping, a non-linear, latent variable, parametrically constrained, Gaussian Mixture Model.

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Publication date:
2003-01-01
UUID:
uuid:378dff30-dbce-4e47-a25e-fb558bdefcb5
Local pid:
oai:eprints.maths.ox.ac.uk:206
Deposit date:
2011-05-19

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