采摘机器人语音识别系统设计 —基于英语词汇整合和WAP平台

通过对语音识别、网络通信与智能机器人运动控制的综合应用,设计了采摘机器人语音识别和远程控制智能机器人系统,在遇到突发状况时,可以采用人工远程语音发出控制指令的方式调整机器人的作业姿态,提高机器人的自主作业效果.为了提高语音识别的准确性,结合英语词汇整合数据库和WAP技术,将小波神经网络算法应用到了机器人语音信号滤波器的...

Design of Speech Recognition System for Picking Robot Based on English Vocabulary Integration and WAP Platform

Through the comprehensive application of speech recognition, it designed network communication and intelligent robot motion control, the intelligent robot system of speech recognition and remote control of picking robot. When encountering unexpected situation, the robot can adjust its working attitude by the way of artificial remote voice sending out control instructions, so as to improve the autonomous working effect of robot. In order to improve the accuracy of speech recognition, it applied the wavelet neural network algorithm to the design of speech signal filter of robot by combining the English vocabulary integration database and WAP technology. And it used the neural network algorithm to train the execution of action, which improves the accuracy of robot action execution. Finally, it verified the accuracy of robot speech recognition and action execution. The experimental results show that the wavelet neural network algorithm can significantly reduce the error of robot action execution, and then improve the quality of work.