一种音频资源选取算法设计与实现  

Design and Implementation of an Audio Resource Selection Algorithm

作　　者：魏化永[1] WEI Huayong(Department of Urban Rail Transit and Information Engineering,Anhui Communications Vocational and Technical College,Hefei 230051,China)

机构地区：[1]安徽交通职业技术学院城市轨道交通与信息工程系,合肥230051

出　　处：《长春大学学报》2023年第10期7-13,共7页Journal of Changchun University

基　　金：安徽省教育厅项目(2021gkszzgq018,2022AH052453)。

摘　　要：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.

关 键 词：音频内容检测 资源选取算法 去重规则 

分 类 号：TP31[自动化与计算机技术—计算机软件与理论]