| 基于英语语音识别的水稻收割机控制系统设计 |
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| 引用本文： | 苏倩,杜堃.基于英语语音识别的水稻收割机控制系统设计[J].农机化研究,2019(6):237-240. |
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| 作者姓名： | 苏倩 杜堃 |
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| 作者单位： | 河北能源职业技术学院 |
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| 基金项目： | 河北省人力资源和社会保障厅项目(A2016001139) |
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| 摘 要： | 农业机械远高于人工的生产效率,可在较短时间内完成目标作业。精准农业是现代农业的发展方向,对农业机械提出了更高要求。语音识别技术可以赋予机器识别和理解人类语音的能力,在农业机械控制上有着广阔的应用前景。为此,基于英语语音识别技术设计了一种水稻收割机的控制系统,以嵌入式微处理芯片为核心,通过隐马尔科夫(HMM)模型算法识别英语语音并以指令的形式输出,对机械的行驶速度、行驶方向和割台高度进行控制。试验表明:系统具有较好的语音识别准确性和实时性,可以降低收割机的操作难度,提高智能化水平。
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| 关 键 词： | 水稻 收割机 英语 语音识别 |
Design of Rice Harvester Control System Based on English Speech Recognition |
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| Su Qian,Du.Design of Rice Harvester Control System Based on English Speech Recognition[J].Journal of Agricultural Mechanization Research,2019(6):237-240. |
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| Authors: | Su Qian Du |
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| Institution: | (Hebei Energy College of Vocation and Technology, Tangshan 063000, China) |
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| Abstract: | Agricultural machinery has much higher productivity than manual production and can accomplish target operations in a relatively short period of time. Precision agriculture is the development direction of modern agriculture, and it also puts forward higher requirements for agricultural machinery. Speech recognition technology can give the machine the ability to recognize and understand human speech, and has broad application prospects in the control of agricultural machinery. This paper designs a control system of rice harvester based on English speech recognition technology. It uses embedded micro-processing chip as the core, and recognizes English speech by HMM algorithm and outputs it in the form of instructions., driving direction and header height control. Experiments show that the system has better accuracy and real-time speech recognition, which can be used to reduce the difficulty of the harvester and improve the level of intelligence. |
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| Keywords: | rice harvester English speech recognition |
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