Abstract
In this paper, it is tried to apply neural networks for two kinds of problems concerning articulatory motion. They are estimation of articulatory motion from speech waves and generation of articulator movement for a sequence of phonemic symbols. In the former problem, since estimation of articulatory parameters is regarded as a nonlinear mapping between the acoustic parameters and the articulatory ones, a neural network is expected to be a suitable method. In the latter problem, a nonlinear control system that produces articulatory motion is successfully constructed combining neural networks.
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