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基于智能语音的翻译机器人自动化控制系统设计

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为提升自动控制效果,加快翻译速率,设计基于智能语音的翻译机器人自动化控制系统;采集外界智能语音信号,利用A/D转换器得到数字信号,启动语音唤醒模块激活翻译机器人,听写模式识别复杂语音信号,命令模式识别简单语音信号,得到语言文本识别结果,通过深度学习关键词检测方法提取关键词作为翻译机器人的自动化控制指令,通过单片机识别自动化控制指令;实验结果表明,该系统可有效采集外界智能语音信号,在0。6 s至2 s之间时,该外界智能语音信号的振幅较小;系统运行时间最短为5。6 s,响应速度在11 m/s左右,控制误差最小为5。1%,BLEU值最高达到了 42。75,控制准确率达到95。7%,提取智能语音信号的关键词,完成翻译机器人自动化控制。
Design of Automatic Control System for Translation Robot Based on Intelligent Speech
In order to improve the effectiveness of automatic control and translation speed,an automatic control system for trans-lation robots based on intelligent speech is designed.This system collects external intelligent voice signals,obtains digital signals u-sing an A/D converter,starts the voice wake-up module to activate the translation robot,recognizes complex voice signals through the dictation mode,recognizes simple voice signals through the command mode,and obtains the results of language and text recognition.Through the deep learning key word detection method,the automatic control instructions are extracted as keywords for the translation robot and identified through the microcontroller.The experimental results show that the system can effectively collect the external in-telligent voice signal,and the amplitude of the external intelligent voice signal is small when it is between 0.6 s and 2 s.The shortest running time of the system is 5.6 s,the response speed is about 11 m/s,the control error is 5.1%,the BLEU value is 42.75,the control accuracy is 95.7%,and the keywords of intelligent speech signal are extracted to complete the automatic control of the trans-lation robot.

intelligent voicetranslation robotautomatic controlspeech recognitionminimum classification errordeep learning

杨维、秦波涛

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西安交通工程学院,西安 710300

智能语音 翻译机器人 自动化控制 语音识别 最小分类错误 深度学习

教育部国家教师科研专项

XKY106531

2024

计算机测量与控制
中国计算机自动测量与控制技术协会

计算机测量与控制

CSTPCD
影响因子:0.546
ISSN:1671-4598
年,卷(期):2024.32(5)