Voice transformation using PSOLA technique

Authors:
H. Valbret;E. Moulines;J. P. Tubach
Affiliations:
Télécom Paris, Dept Signal, CNRS-URA, Paris Cedex, France;Télécom Paris, Dept Signal, CNRS-URA, Paris Cedex, France;Télécom Paris, Dept Signal, CNRS-URA, Paris Cedex, France
Venue:
ICASSP'92 Proceedings of the 1992 IEEE international conference on Acoustics, speech and signal processing - Volume 1
Year:
1992

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Abstract

Whereas speaker adaptation has received much attention for speech recognition, few studies have been devoted to voice transformation for speech synthesis, despite the potential interest of such techniques. We propose in this paper a voice conversion system which combines the TD-PSOLA technique with a source-filter decomposition. The first technique allows prosodic modifications while the second enables spectral envelope transformations. Two approaches to learn spectral alteration are compared: the Linear Multivariate Regression (LMR) and the Dynamic Frequency Warping (DFW).