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语音识别技术应用于EMS人机交互初探
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通过剖析能量管理系统(EMS)人机交互界面的输入端,比较几种输入工具的特点,提出引入语音识别技术。在改进后的人机界面中,对语音、鼠标和键盘3类输入工具进行了新的输入任务分配,使其协同工作,在命令控制上形成了以语音和鼠标相互配合为主体的输入模式。与传统的人机界面相比较,改进后的人机界面在操作效率、输入的自由度和输出端的显示能力上都有明显的优势,并通过实验验证其优越性。

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国家自然科学基金

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A Study on the Application of Speech Recognition to the Human Computer Interface of EMS
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Upon analyzing the input characteristics and different input tools for the HCI of EMS, the paper proposes to use speech recognition in the design of HCI input terminal. Input tasks are distributed to the speech recognition, mouse and keyboard in accordance to the characteristics of each tool. This forms a new input mode in term of command control, based on the coordination of mouse and speech. Compared with the conventional HCI, the method features higher operating efficiency, more freedom of input and better displaying quality of output. Experimental results demonstrate the advantages of the method.

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引用本文
[1]朱全胜,刘娆,李卫东.语音识别技术应用于EMS人机交互初探[J].电力系统自动化,2008,32(13):45-48.
ZHU Quansheng, LIU Rao, LI Weidong. A Study on the Application of Speech Recognition to the Human Computer Interface of EMS[J]. Automation of Electric Power Systems, 2008, 32(13):45-48.
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  • 收稿日期:2008-03-28
  • 最后修改日期:2008-06-17
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  • 在线发布日期: 2008-07-02
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