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Realization and Design of a Pilot Assist Decision-Making System Based on Speech Recognition

机译：基于语音识别的驾驶员辅助决策系统的设计与实现

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A system based on speech recognition is proposed for pilot assist decision-making. It is basedon a HIL aircraft simulation platform and uses the microcontroller SPCE061A as the centralprocessor to achieve better reliability and higher cost-effect performance. Technologies ofLPCC (linear predictive cepstral coding) and DTW (Dynamic Time Warping) are applied forisolated-word speech recognition to gain a smaller amount of calculation and a better real-timeperformance. Besides, we adopt the PWM (Pulse Width Modulation) regulation technology toeffectively regulate each control surface by speech, and thus to assist the pilot to make decisions.By trial and error, it is proved that we have a satisfactory accuracy rate of speech recognitionand control effect. More importantly, our paper provides a creative idea for intelligent humancomputerinteraction and applications of speech recognition in the field of aviation control. Oursystem is also very easy to be extended and applied.
机译：提出了一种基于语音识别的系统，用于飞行员的辅助决策。它基于HIL飞机仿真平台，并使用微控制器SPCE061A作为中央处理器，以实现更好的可靠性和更高的性价比。将LPCC（线性预测倒谱编码）和DTW（动态时间规整）技术应用于隔离词语音识别，可以获得较少的计算量和更好的实时性能。此外，我们采用PWM（Pulse Width Modulation，脉宽调制）调节技术，可以有效地通过语音调节每个控制面，从而帮助飞行员做出决策。通过反复试验，证明我们具有令人满意的语音识别和控制准确率影响。更重要的是，本文为智能人机交互以及语音识别在航空控制领域的应用提供了创新的思路。我们的系统也很容易扩展和应用。

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