{"title":"Classification of Indonesian Music Genres Using the Support Vector Machine Method","authors":"Yuni Yuniar, D. Alamsyah, Asti Herliana","doi":"10.1109/ICORIS56080.2022.10031473","DOIUrl":null,"url":null,"abstract":"Music is one of the fields that has many enthusiasts in Indonesia. This is because music has a lot of good influence on the Indonesian people. Of course, every Indonesian people's tastes in music are different, and sometimes there are always people who don't recognize the genre of music because they have similarities in several things. The purpose of this research is to classify Music Genres to help the public recognize the Music Genres that exist in Indonesia. The method used is the Support vector machine method where this method has a way of working by inserting the kernel concept into a high-dimensional space. The results of this study are 87% Classification Accuracy with 8 classes, namely Genres Pop, Jazz, Dangdut, R&B, Reggae, Religion, Ska, and Rock.","PeriodicalId":138054,"journal":{"name":"2022 4th International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 4th International Conference on Cybernetics and Intelligent System (ICORIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICORIS56080.2022.10031473","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Music is one of the fields that has many enthusiasts in Indonesia. This is because music has a lot of good influence on the Indonesian people. Of course, every Indonesian people's tastes in music are different, and sometimes there are always people who don't recognize the genre of music because they have similarities in several things. The purpose of this research is to classify Music Genres to help the public recognize the Music Genres that exist in Indonesia. The method used is the Support vector machine method where this method has a way of working by inserting the kernel concept into a high-dimensional space. The results of this study are 87% Classification Accuracy with 8 classes, namely Genres Pop, Jazz, Dangdut, R&B, Reggae, Religion, Ska, and Rock.