Simulating a hierarchical, task-based, state-feedback model of speech motor control: insights and issues

Vikram Ramanarayanan, Educational Testing Service Research & Development, San Francisco, CA

We present a recently-developed model of speech motor control based on articulatory goals that explicitly incorporates acoustic sensory feedback using a framework for state-based control. We do this by combining two existing, complementary models of speech motor control – the Task Dynamics model and the State Feedback Control model of speech. We observe that the model qualitatively simulates the behavior of online compensation for unexpected perturbations reported in human subjects. We discuss the various insights that such a simulation-based endeavor affords, along with issues that need to be taken into consideration during model-building.