基于随机音乐模型的作曲辅助系统

Yumi Isowa, Nami Iino, Shigeki Okino, Yasuki Iizuka
{"title":"基于随机音乐模型的作曲辅助系统","authors":"Yumi Isowa, Nami Iino, Shigeki Okino, Yasuki Iizuka","doi":"10.1109/IIAI-AAI.2017.24","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a musical composition assistant system for amateur novice composers. The system is based on a stochastic musical model that learns the N-gram frequencies from a musical corpus. The computer does not compose music automatically, but assists musical composition by the human composer by recommending the next notes for the melody. The experimental results show that the system assistant composition reflecting the characteristics of learning data.","PeriodicalId":281712,"journal":{"name":"2017 6th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Musical Composition Assistant System Using a Stochastic Musical Model\",\"authors\":\"Yumi Isowa, Nami Iino, Shigeki Okino, Yasuki Iizuka\",\"doi\":\"10.1109/IIAI-AAI.2017.24\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose a musical composition assistant system for amateur novice composers. The system is based on a stochastic musical model that learns the N-gram frequencies from a musical corpus. The computer does not compose music automatically, but assists musical composition by the human composer by recommending the next notes for the melody. The experimental results show that the system assistant composition reflecting the characteristics of learning data.\",\"PeriodicalId\":281712,\"journal\":{\"name\":\"2017 6th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)\",\"volume\":\"73 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 6th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IIAI-AAI.2017.24\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 6th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IIAI-AAI.2017.24","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

在本文中,我们提出了一个音乐创作辅助系统,为业余新手作曲家。该系统基于随机音乐模型,该模型从音乐语料库中学习N-gram频率。计算机不会自动作曲,而是通过为旋律推荐下一个音符来协助人类作曲家作曲。实验结果表明,系统辅助作文反映了学习数据的特点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Musical Composition Assistant System Using a Stochastic Musical Model
In this paper, we propose a musical composition assistant system for amateur novice composers. The system is based on a stochastic musical model that learns the N-gram frequencies from a musical corpus. The computer does not compose music automatically, but assists musical composition by the human composer by recommending the next notes for the melody. The experimental results show that the system assistant composition reflecting the characteristics of learning data.
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