Controlling limited-domain applications by probabilistic semantic decoding of natural speech

The paper describes a speech understanding system, which allows the online control of arbitrary running applications owning a well-defined command interface. A sequential combination of a signal preprocessor, a stochastic-driven one-stage semantic decoder and a rule-based intention decoder is proposed. Following this principle and using the respective algorithms, speech understanding front-ends for the domains "graphic editor" and "service robot" could be successfully realized.