一种音频资源选取算法设计与实现

Design and Implementation of an Audio Resource Selection Algorithm

当前短视频制作和发布内容过度重复,主流短视频发布平台相继推出音视频检测重复规则,验证通过后才给予发布。如何创作出满足去重规则的高质量音视频是自媒体人研究的重点。本研究提出了基于去重规则的音频资源选取算法,并基于Python语言设计实现了算法的可视化工具。实验结果表明算法正确有效,能助力自媒体客户制作高质量音频文件,用户创作效率显著提升。

At present,the contents of short video production and publication are over-repetitive,and mainstream short video release platforms have successively launched rules for audio and video detection repetition,allowing them be released after verification.How to create high-quality audio and video that meet the rules of de-duplication is the focus for we-media people to research.This paper gives an audio resource selection algorithm based on de-duplication rules,and designs a visual tool to implement the algorithm based on Python language.The experimental results show that the algorithm is correct and effective,which can help we-media customers produce high-quality audio files and can improve the user creation efficiency significantly.