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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.
Publication status:
Published

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Institution:
University of Oxford
Division:
MPLS
Department:
Mathematical Institute
Role:
Author
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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author


Journal:
CCCT 2003, VOL 1, PROCEEDINGS More from this journal
Pages:
222-225
Publication date:
2003-01-01
Event title:
International Conference on Computer, Communication and Control Technologies (CCCT 03)/9th International Conference on Information Systems Analysis and Synthesis (ISAS03)
ISBN:
9806560051


Keywords:
Pubs id:
pubs:25871
UUID:
uuid:1844506d-781a-4932-a710-8d6c9dfef1db
Local pid:
pubs:25871
Source identifiers:
25871
Deposit date:
2012-12-19
ARK identifier:

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