基于深度学习和神经网络的音乐类型检测的全自动音乐均衡器

Kevin Hu, Yu Sun, Yujia Zhang
{"title":"基于深度学习和神经网络的音乐类型检测的全自动音乐均衡器","authors":"Kevin Hu, Yu Sun, Yujia Zhang","doi":"10.5121/csit.2023.130517","DOIUrl":null,"url":null,"abstract":"Recent years have witnessed the dramatic popularity of online music streaming and the use of headphones likeAirPods, which millions of people use daily [1]. Melodic EQ was inspired by these users to create the best audiolistening experience for listeners with various preferences [2]. Melodic EQ is a project that creates customEQs tothe user's custom music tastes and filters the audio to fit their favorite settings. To achieve this goal, the processstarts with a song file taken from an existing file, for example, Spotify downloads or mp3s. This file is then uploadedto the app. The software sorts the song in a genre detecting Algorithm and assigns a genre label to that song. Insidethe app, the user will create or select EQs for that genre and apply it to their music. The interface is easy to use andthe app aims to make everyone's preferences achievable and on the fly. That’s why there are presets for eachcategory for users who are unfamiliar with equalizers, and custom settings for advanced users to create their perfect sound for each genre.","PeriodicalId":261978,"journal":{"name":"Computer Science, Engineering and Applications","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Fully Automated Music Equalizer based on Music Genre Detection using Deep Learning and Neural Network\",\"authors\":\"Kevin Hu, Yu Sun, Yujia Zhang\",\"doi\":\"10.5121/csit.2023.130517\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recent years have witnessed the dramatic popularity of online music streaming and the use of headphones likeAirPods, which millions of people use daily [1]. Melodic EQ was inspired by these users to create the best audiolistening experience for listeners with various preferences [2]. Melodic EQ is a project that creates customEQs tothe user's custom music tastes and filters the audio to fit their favorite settings. To achieve this goal, the processstarts with a song file taken from an existing file, for example, Spotify downloads or mp3s. This file is then uploadedto the app. The software sorts the song in a genre detecting Algorithm and assigns a genre label to that song. Insidethe app, the user will create or select EQs for that genre and apply it to their music. The interface is easy to use andthe app aims to make everyone's preferences achievable and on the fly. That’s why there are presets for eachcategory for users who are unfamiliar with equalizers, and custom settings for advanced users to create their perfect sound for each genre.\",\"PeriodicalId\":261978,\"journal\":{\"name\":\"Computer Science, Engineering and Applications\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-03-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computer Science, Engineering and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5121/csit.2023.130517\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Science, Engineering and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5121/csit.2023.130517","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

近年来,在线音乐流媒体和airpods等耳机的使用迅速普及,每天都有数百万人使用[1]。Melodic EQ就是受到这些用户的启发,为不同偏好的听众创造最佳的聆听体验[2]。Melodic EQ是一个项目,可以根据用户的自定义音乐品味创建自定义EQ,并过滤音频以适应他们最喜欢的设置。为了实现这个目标,这个过程从一个现有的文件中获取一个歌曲文件,例如,Spotify下载或mp3。然后,这个文件被上传到应用程序中。该软件用流派检测算法对歌曲进行分类,并为这首歌分配一个流派标签。在应用程序中,用户可以为该类型创建或选择eq,并将其应用到他们的音乐中。界面易于使用,应用程序旨在使每个人的喜好都可以实现,并在飞行中。这就是为什么为不熟悉均衡器的用户提供每个类别的预设,并为高级用户提供自定义设置,以创建每个类型的完美声音。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Fully Automated Music Equalizer based on Music Genre Detection using Deep Learning and Neural Network
Recent years have witnessed the dramatic popularity of online music streaming and the use of headphones likeAirPods, which millions of people use daily [1]. Melodic EQ was inspired by these users to create the best audiolistening experience for listeners with various preferences [2]. Melodic EQ is a project that creates customEQs tothe user's custom music tastes and filters the audio to fit their favorite settings. To achieve this goal, the processstarts with a song file taken from an existing file, for example, Spotify downloads or mp3s. This file is then uploadedto the app. The software sorts the song in a genre detecting Algorithm and assigns a genre label to that song. Insidethe app, the user will create or select EQs for that genre and apply it to their music. The interface is easy to use andthe app aims to make everyone's preferences achievable and on the fly. That’s why there are presets for eachcategory for users who are unfamiliar with equalizers, and custom settings for advanced users to create their perfect sound for each genre.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信