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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
引用本文:杨维,秦波涛.基于智能语音的翻译机器人自动化控制系统设计[J].计算机测量与控制,2024,32(5):102-108.
作者姓名:杨维  秦波涛
基金项目:教育部国家教师科研专项基金 (XKY106531)
摘    要: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,提取智能语音信号的关键词,完成翻译机器人自动化控制。

关 键 词:关键词: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
收稿时间:2023/5/24 0:00:00
修稿时间:2023/7/3 0:00:00

Design of automatic control system for translation robot based on intelligent speech
Abstract:In order to improve the automatic control effect and speed up the translation speed, an automatic control system for translation robots based on intelligent speech is designed. Collect external intelligent voice signals, obtain digital signals using an A/D converter, activate the voice wake-up module to activate the translation robot, recognize complex voice signals through dictation mode, recognize simple voice signals through command mode, and obtain language and text recognition results. Extract Keywordsas automatic control instructions for the translation robot through a deep learning Keyworddetection method, and identify automatic control instructions through a microcontroller. Experimental results show that the system can effectively collect external intelligent voice signals, extract Keywordsfrom intelligent voice signals, and complete automatic control of translation robots.
Keywords:Key words: Intelligent voice  Translation robot  Automatic control  Speech recognition  Minimum classification error  Deep learning
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