Toward a Reinforcement-Learning-Based System for Adjusting Medication to Minimize Speech Disfluency

We propose a reinforcement learning (RL)-based system that would automatically prescribe a hypothetical patient medication that may help the patient with their mental health-related speech disfluency, and adjust the medication and the dosages in response to zero-cost frequent measurement of the fluency of the patient. We demonstrate the components of the system: a module that detects and evaluates speech disfluency on a large dataset we built, and an RL algorithm that automatically finds good combinations of medications. To support the …

adjusting components cost cs.cl cs.lg eess.as health measurement mental health patient reinforcement reinforcement learning speech