基于英语语音识别的水稻收割机控制系统设计
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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。
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.
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.
引文
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[12]王国梁,梁维谦,刘加,等.嵌入式中等词汇量英语语音识别片上系统[J].清华大学学报:自然科学版,2005,45(10):1393-1396.
[13]周晓武.嵌入式实时英语语音识别系统的设计与研究[J].电子设计工程,2017,25(8):187-190.
[2]庹朝永.联合收割机行走速度分析及控制系统设计[J].农机化研究,2011,33(8):97-100.
[3]袁文胜,师帅兵,杨忠平,等.联合收割机行走速度自动控制系统的设计[J].农机化研究,2006(7):107-109.
[4]赵爽.基于嵌入式的联合收割机车速调控系统[J].农机化研究,2010,32(6):101-104.
[5]陈昆昌,赵匀,俞高红.全喂入水稻联合收割机切割机构的动力学分析与惯性力平衡[J].机械设计与研究,2005,21(3):98-100.
[6]潘静,邵陆寿,王轲.水稻联合收割机喂入密度检测方法[J].农业工程学报,2010,26(8):113-116.
[7]周岩,王雪瑞.基于WSN的智能农机自动导航控制系统研究[J].计算机测量与控制,2015,23(9):3038-3041.
[8]富钢,史俊,赵伟强.语音识别技术在机床控制方面的应用[J].机械设计与制造,2005(10):148-150.
[9]王登峰,曹晓琳,于吉龙.车载语音识别系统设计与试验[J].农业机械学报,2010,41(1):41-45.
[10]涂惠燕,陈一宁.基于语音识别和手机平台的英语口语发音学习系统[J].计算机应用与软件,2011,28(9):64-66.
[11]赵海滨,王宏,闻绍飞.嵌入式语音识别控制机械手的系统设计[J].仪器仪表学报,2004,25(S1):621-622.
[12]王国梁,梁维谦,刘加,等.嵌入式中等词汇量英语语音识别片上系统[J].清华大学学报:自然科学版,2005,45(10):1393-1396.
[13]周晓武.嵌入式实时英语语音识别系统的设计与研究[J].电子设计工程,2017,25(8):187-190.