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Keywords recognition in aircraft cockpit based on genetic algorithm-dynamic time warping

机译:基于遗传算法-动态时间规整的飞机驾驶舱关键词识别

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This paper proposed a Genetic Algorithm-based Dynamic Time Warping (GA-DTW) algorithm to recognize the keywords in aircraft cockpit communication. The proposed algorithm can accurately extract keywords related to the various flight events from a large number of flight speech records. It is greatly reduced the workload of researchers who study aviation human factors and provides valuable materials for the subsequent identification and decomposition of flight events. Experimental results show that the proposed algorithm is not only able to improve the recall rate of keywords, but also can enhance the detection accuracy of keywords.
机译:提出了一种基于遗传算法的动态时间规整(GA-DTW)算法来识别飞机座舱通信中的关键词。所提出的算法可以从大量的飞行语音记录中准确地提取与各种飞行事件有关的关键词。它大大减少了研究航空人为因素的研究人员的工作量,并为随后的飞行事件识别和分解提供了有价值的材料。实验结果表明,该算法不仅可以提高关键词的查全率,而且可以提高关键词的检测精度。

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