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A system based on speech recognition is proposed for pilot assistdecision-making. It is based on a HIL aircraft simulation platform and uses themicrocontroller SPCE061A as the central processor to achieve better reliabilityand higher cost-effect performance. Technologies of LPCC (linear predictivecepstral coding) and DTW (Dynamic Time Warping) are applied for isolated-wordspeech recognition to gain a smaller amount of calculation and a betterreal-time performance. Besides, we adopt the PWM (Pulse Width Modulation)regulation technology to effectively regulate each control surface by speech,and thus to assist the pilot to make decisions. By trial and error, it isproved that we have a satisfactory accuracy rate of speech recognition andcontrol effect. More importantly, our paper provides a creative idea forintelligent human-computer interaction and applications of speech recognitionin the field of aviation control. Our system is also very easy to be extendedand applied.

Realization and design of a pilot assist decision-making system based on speech recognition