Generating chord progression from melody with flexible harmonic rhythm and controllable harmonic density

IF 1.7 3区 计算机科学 Q2 ACOUSTICS Eurasip Journal on Audio Speech and Music Processing Pub Date : 2024-01-15 DOI:10.1186/s13636-023-00314-6
Shangda Wu, Yue Yang, Zhaowen Wang, Xiaobing Li, Maosong Sun
{"title":"Generating chord progression from melody with flexible harmonic rhythm and controllable harmonic density","authors":"Shangda Wu, Yue Yang, Zhaowen Wang, Xiaobing Li, Maosong Sun","doi":"10.1186/s13636-023-00314-6","DOIUrl":null,"url":null,"abstract":"Melody harmonization, which involves generating a chord progression that complements a user-provided melody, continues to pose a significant challenge. A chord progression must not only be in harmony with the melody, but also interdependent on its rhythmic pattern. While previous neural network-based systems have been successful in producing chord progressions for given melodies, they have not adequately addressed controllable melody harmonization, nor have they focused on generating harmonic rhythms with flexibility in the rates or patterns of chord changes. This paper presents AutoHarmonizer, a novel system for harmonic density-controllable melody harmonization with such a flexible harmonic rhythm. AutoHarmonizer is equipped with an extensive vocabulary of 1462 chord types and can generate chord progressions that vary in harmonic density for a given melody. Experimental results indicate that the AutoHarmonizer-generated chord progressions exhibit a diverse range of harmonic rhythms and that the system’s controllable harmonic density is effective.","PeriodicalId":49202,"journal":{"name":"Eurasip Journal on Audio Speech and Music Processing","volume":null,"pages":null},"PeriodicalIF":1.7000,"publicationDate":"2024-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Eurasip Journal on Audio Speech and Music Processing","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1186/s13636-023-00314-6","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ACOUSTICS","Score":null,"Total":0}
引用次数: 0

Abstract

Melody harmonization, which involves generating a chord progression that complements a user-provided melody, continues to pose a significant challenge. A chord progression must not only be in harmony with the melody, but also interdependent on its rhythmic pattern. While previous neural network-based systems have been successful in producing chord progressions for given melodies, they have not adequately addressed controllable melody harmonization, nor have they focused on generating harmonic rhythms with flexibility in the rates or patterns of chord changes. This paper presents AutoHarmonizer, a novel system for harmonic density-controllable melody harmonization with such a flexible harmonic rhythm. AutoHarmonizer is equipped with an extensive vocabulary of 1462 chord types and can generate chord progressions that vary in harmonic density for a given melody. Experimental results indicate that the AutoHarmonizer-generated chord progressions exhibit a diverse range of harmonic rhythms and that the system’s controllable harmonic density is effective.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
根据旋律生成和弦进行,和声节奏灵活,和声密度可控
旋律和声是指生成一个和弦进行,以补充用户提供的旋律,这仍然是一个重大挑战。和弦进行不仅必须与旋律和谐,还必须与旋律的节奏型相互依存。虽然以前基于神经网络的系统能成功地为给定旋律生成和弦进行,但它们并没有充分解决可控旋律和声的问题,也没有专注于生成和弦变化率或模式灵活的和声节奏。本文介绍的 AutoHarmonizer 是一种新颖的系统,用于和声密度可控的旋律和声,并具有这种灵活的和声节奏。AutoHarmonizer 配备了由 1462 种和弦类型组成的丰富词汇,可以为给定的旋律生成和声密度不同的和弦行进。实验结果表明,AutoHarmonizer 生成的和弦行进表现出多种多样的和声节奏,而且系统的可控和声密度非常有效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Eurasip Journal on Audio Speech and Music Processing
Eurasip Journal on Audio Speech and Music Processing ACOUSTICS-ENGINEERING, ELECTRICAL & ELECTRONIC
CiteScore
4.10
自引率
4.20%
发文量
0
审稿时长
12 months
期刊介绍: The aim of “EURASIP Journal on Audio, Speech, and Music Processing” is to bring together researchers, scientists and engineers working on the theory and applications of the processing of various audio signals, with a specific focus on speech and music. EURASIP Journal on Audio, Speech, and Music Processing will be an interdisciplinary journal for the dissemination of all basic and applied aspects of speech communication and audio processes.
期刊最新文献
Compression of room impulse responses for compact storage and fast low-latency convolution Guest editorial: AI for computational audition—sound and music processing Physics-constrained adaptive kernel interpolation for region-to-region acoustic transfer function: a Bayesian approach Physics-informed neural network for volumetric sound field reconstruction of speech signals Optimal sensor placement for the spatial reconstruction of sound fields
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1