摘要
随着人工智能和多媒体技术的发展,旋耕机在农业生产中发挥着重要作用。为此,以旋耕机运动控制系统为核心,介绍了旋耕机的整体结构和控制原理,基于MFCC特征提取和VQ矢量方法设计了一种多媒体语音识别系统,实现对旋耕机耕深和运动的控制。基于该系统进行了相关的实验研究,证明了系统能够正常工作,语音控制平均识别率在94%以上,满足对旋耕机的语音控制要求。
With the development of artificial intelligence and multimedia technology,rotary tillers play an important role in agricultural production.It takes the rotary tiller motion control system as the core.It first introduces the overall structure and control principle of the rotary tiller,then designs a multimedia speech recognition system based on MFCC feature extraction and VQ vector method,which can realize the control of the rotary tiller depth and motion.And then,it carries out relevant experimental research based on the system,which proves that the system can work normally,and the average recognition rate of voice control is above 94%.It can meet the voice control requirements of the rotary tiller,and it proves the reliability of the voice control system of the rotary tiller.
作者
王婷婷
Wang Tingting(Chongqing Vocational and Technical University of Mechatronics,Chongqing 402760,China)
出处
《农机化研究》
北大核心
2024年第11期121-125,共5页
Journal of Agricultural Mechanization Research
基金
重庆市教育科学规划课题(HG2022K301)。
关键词
旋耕机
运动控制
多媒体
语音识别
MFCC
VQ
rotary cultivator
multimedia
motion control
speech recognition
MFCC
VQ
