摘要
针对中波实验信号的特点,放弃了依据电平和信噪比作为判断标准的传统监测模式,创新性地提出了基于音频特征提取和音频分类识别算法的解决方案,从监测理论上进行了突破,较好地解决了实验监测的技术难点。
According to the technical characteristics of the experimental signal,the traditional monitoring mode based on the level and signalto-noise ratio is abandoned,and a solution based on audio feature extraction technology and audio classification pattern recognition algorithm is innovatively proposed,which makes a breakthrough in the monitoring theory and better solves the technical problems of experimental monitoring.
作者
冉军
王骆
胡建功
Ran Jun;Wang Luo;Hu Jiangong(Chongqing Radio and Television Monitoring Station,Chongqing 401147,China)
出处
《广播与电视技术》
2022年第10期123-126,共4页
Radio & TV Broadcast Engineering
关键词
中波实验
音频分类
模式识别
监测系统
Medium wave experiment
Audio classification
Pattern recognition
Monitoring system