{"title":"Method to evaluate similarity of music by music features","authors":"Shumpei Tamura, S. Ito, Momoyo Ito, M. Fukumi","doi":"10.1109/IECON.2015.7392490","DOIUrl":null,"url":null,"abstract":"This paper proposes a method to evaluate similarity of music by music features. A music feature extraction method consists of three phases; chord progression pattern detection, rhythm pattern detection and musical instrument information extraction. The music feature extraction is carried out by using frequency analysis. In the chord progression pattern, we employ three evaluation criteria. In the rhythm pattern detection, we evaluate beat per minute(BPM) values. In the musical instrument information, we confirm results of musical instrument information extraction visually. In order to show the effectiveness of the proposed method, we conduct computer simulations of music features extraction.","PeriodicalId":190550,"journal":{"name":"IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society","volume":"300 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IECON.2015.7392490","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper proposes a method to evaluate similarity of music by music features. A music feature extraction method consists of three phases; chord progression pattern detection, rhythm pattern detection and musical instrument information extraction. The music feature extraction is carried out by using frequency analysis. In the chord progression pattern, we employ three evaluation criteria. In the rhythm pattern detection, we evaluate beat per minute(BPM) values. In the musical instrument information, we confirm results of musical instrument information extraction visually. In order to show the effectiveness of the proposed method, we conduct computer simulations of music features extraction.