摘要
为了对猪只异常状态进行检测,本文设计了一种基于嵌入式平台的猪只声音识别系统,该系统以S3C2440芯片为微处理器,以Linux为操作系统,以QT为显示界面,并通过移植基于隐马尔科夫模型算法的语音识别工具箱HTK,实现了自动识别猪只不同状态的声音。经过实验验证表明,本系统达到了预期的实验效果。
In order to detect the abnormal state of pigs,this paper designs a pig voice recognition system based on embedded platform,the system uses S3C2440 chip microprocessor,the Linux operating system,using QT as the display interface,and through transplantation based on Hidden Markov model algorithm for speech recognition toolbox HTK,realizes the automatic identification of pigs in different states sound. The experimental results show that the system achieves the desired experimental results.
作者
袁瑞临
张栖铭
王峰
范凡
YUAN Rui-lin ,ZHANG Qi-ming,WANG Feng,FAN Fan （1 .College of Information Engineering, Taiyuan University of Technology, Jinzhong 030600,China）
出处
《电脑知识与技术》
2017年第2期186-188,共3页
Computer Knowledge and Technology
