Conference item
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.
Actions
Access Document
- Files:
-
-
(Preview, pdf, 168.5KB, Terms of use)
-
Authors
- 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
- ARK identifier:
Terms of use
- Copyright date:
- 2003
If you are the owner of this record, you can report an update to it here: Report update to this record