{"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}
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.