利用人工神经网络作曲的可行性

K. Venugopal, P. Madhusudan
{"title":"利用人工神经网络作曲的可行性","authors":"K. Venugopal, P. Madhusudan","doi":"10.1109/ICCMC.2017.8282520","DOIUrl":null,"url":null,"abstract":"The composition of music is an art and has been considered something only possible by human creativity since times immemorial. Therefore, not many attempts have been made to allow artificial intelligences to compose music. This paper discusses developments in mathematics and their applications in artificial neural network based music composition and synthesis.","PeriodicalId":163288,"journal":{"name":"2017 International Conference on Computing Methodologies and Communication (ICCMC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Feasibility of music composition using artificial neural networks\",\"authors\":\"K. Venugopal, P. Madhusudan\",\"doi\":\"10.1109/ICCMC.2017.8282520\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The composition of music is an art and has been considered something only possible by human creativity since times immemorial. Therefore, not many attempts have been made to allow artificial intelligences to compose music. This paper discusses developments in mathematics and their applications in artificial neural network based music composition and synthesis.\",\"PeriodicalId\":163288,\"journal\":{\"name\":\"2017 International Conference on Computing Methodologies and Communication (ICCMC)\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-07-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Computing Methodologies and Communication (ICCMC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCMC.2017.8282520\",\"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 International Conference on Computing Methodologies and Communication (ICCMC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCMC.2017.8282520","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

音乐的创作是一门艺术,自古以来就被认为是只有人类的创造力才能实现的。因此,让人工智能作曲的尝试并不多。本文讨论了数学的发展及其在基于人工神经网络的音乐作曲和合成中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Feasibility of music composition using artificial neural networks
The composition of music is an art and has been considered something only possible by human creativity since times immemorial. Therefore, not many attempts have been made to allow artificial intelligences to compose music. This paper discusses developments in mathematics and their applications in artificial neural network based music composition and synthesis.
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