A NOVEL SELF-ORGANISING SPEECH PRODUCTION SYSTEM USING PSEUDO-ARTICULATORS
C.S. Blackburn and S.J. Young
Oct 1994
A novel articulatory speech production system which is stochastically trained from a pre-specified initialisation state is presented. The target positions for a set of pseudo-articulators and the mapping from these to output speech spectral vectors are jointly optimised using linearised Kalman filtering and an assembly of neural networks. The techniques used to initialise and train the system are described, and preliminary results when synthesising speech are demonstrated.
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