基于音频流序列的广播音频信号源内容智能比对技术研究

Research on Intelligent Comparison Technology of Broadcasting Audio Signal Source Content Based on Audio Flow Sequences

在广播电视发射台站的节目播出中,多路信号源的存在使得电平值、时间延迟等方面的差异以及内容错误播出现象成为监管和使用的挑战。本文提出了一种基于音频流序列的智能比对技术,通过提取广播音频信号的特征参数形成音频流序列,并运用模式识别方法分析信号源间的相似度,以比对多路广播音频信号内容,确保信号源内容的准确性。试验证明,该技术能有效识别错播、插播及噪音信号,实现对正常信号的精准甄别。

In the broadcasting of programs at radio and television transmission stations,the presence of multiple signal sources poses challenges to regulation and usage,including differences in level values,time delays,and erroneous content broadcasting.In view of the above problems,this paper proposes and discusses an intelligent comparison technology of signal source content based on audio stream sequences,which extracts effective characteristic parameters from broadcasting audio signals to form audio stream sequences,and uses pattern recognition methods to analyze the similarity between statistical signal sources,which is used to compare the content of multi-channel broadcasting audio signals to judge the accuracy of audio source content.Experiments have shown that this technology can effectively identify erroneous,interrupted,and noisy signals,achieving precise identification of normal signals.