抄録
An inverse dynamics based estimation for human articulatory motor control has been presented. As the plant for this control application, a dynamic model of human articulators consisting of lip soft tissue with related muscles and bones is developed. The continuum of lip soft tissue is represented as a discrete model approximation composed of networked point masses interconnected via viscoelastic elements. By activating an appropriately selected muscle set, the dynamic model performs a mimic of actual human speech motion, called pseudo-speech motion. Pseudo-speech motion is a forward dynamics simulation using the articulator dynamic model. As a mathematical representation of human speech acquisition, simulations of articulatory motor control based on estimation of muscle motor command are presented. Inverse dynamics driven iterative estimation makes the dynamic model put into practice an articulatory motion. The solution of this inverse dynamics problem is a set of activated muscle motor command as the foundation of induced articulatory motion. Correlation between model-based motor command estimations and EMG signals recorded during actual speech motions is discussed.
