Speech Control based on Command Matching in Vehicle

This article presents a general structure of speech control intelligent electrical system. Under specific in-vehicle environment, a classified vocabulary is designed. Driver´s nature language is processed using normal-mode and infinite state machine theory to achieve the goal of speech control. Robust design is also used to increase the accuracy of driver´ intension recognition result. A demo system is developed, and it proved that to control electrical/electronic device using human language is feasible.