{"title":"基于机器学习和人工智能的乐谱自动生成算法","authors":"Ruize Yu, Yu Sun","doi":"10.5121/csit.2022.121822","DOIUrl":null,"url":null,"abstract":"Due to the ever growing popularity of music as a part of everyday life, and with the continuous advances in AI technology, it is now possible for computers to listen to and recognize music [1]. However, there still exist limitations on machines’ ability to recognize audio. This paper proposes an application to simplify the process of music transcription and reduce its runtime [2]. This application was tested in a different range of settings and evaluated. The results show what can be further improved on this application.","PeriodicalId":91205,"journal":{"name":"Artificial intelligence and applications (Commerce, Calif.)","volume":"56 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Automatic Sheet Music Generating Algorithm based on Machine Learning and Artificial Intelligence\",\"authors\":\"Ruize Yu, Yu Sun\",\"doi\":\"10.5121/csit.2022.121822\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Due to the ever growing popularity of music as a part of everyday life, and with the continuous advances in AI technology, it is now possible for computers to listen to and recognize music [1]. However, there still exist limitations on machines’ ability to recognize audio. This paper proposes an application to simplify the process of music transcription and reduce its runtime [2]. This application was tested in a different range of settings and evaluated. The results show what can be further improved on this application.\",\"PeriodicalId\":91205,\"journal\":{\"name\":\"Artificial intelligence and applications (Commerce, Calif.)\",\"volume\":\"56 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Artificial intelligence and applications (Commerce, Calif.)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5121/csit.2022.121822\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Artificial intelligence and applications (Commerce, Calif.)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5121/csit.2022.121822","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Automatic Sheet Music Generating Algorithm based on Machine Learning and Artificial Intelligence
Due to the ever growing popularity of music as a part of everyday life, and with the continuous advances in AI technology, it is now possible for computers to listen to and recognize music [1]. However, there still exist limitations on machines’ ability to recognize audio. This paper proposes an application to simplify the process of music transcription and reduce its runtime [2]. This application was tested in a different range of settings and evaluated. The results show what can be further improved on this application.