{"title":"音乐数字图书馆的实时类型分类","authors":"J. S. Downie, Andreas F. Ehmann, D. Tcheng","doi":"10.1145/1065385.1065480","DOIUrl":null,"url":null,"abstract":"This paper describes a real-time audio-based automatic music genre classifier for use in organizing, browsing, and searching musical digital libraries. A decision tree classifier trained on a 40-dimension feature space is used to categorize music into one of 14 different genres with the results being displayed to a continuously updating user interface","PeriodicalId":248721,"journal":{"name":"Proceedings of the 5th ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL '05)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Real-time genre classification for music digital libraries\",\"authors\":\"J. S. Downie, Andreas F. Ehmann, D. Tcheng\",\"doi\":\"10.1145/1065385.1065480\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes a real-time audio-based automatic music genre classifier for use in organizing, browsing, and searching musical digital libraries. A decision tree classifier trained on a 40-dimension feature space is used to categorize music into one of 14 different genres with the results being displayed to a continuously updating user interface\",\"PeriodicalId\":248721,\"journal\":{\"name\":\"Proceedings of the 5th ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL '05)\",\"volume\":\"51 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-06-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 5th ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL '05)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1065385.1065480\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 5th ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL '05)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1065385.1065480","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Real-time genre classification for music digital libraries
This paper describes a real-time audio-based automatic music genre classifier for use in organizing, browsing, and searching musical digital libraries. A decision tree classifier trained on a 40-dimension feature space is used to categorize music into one of 14 different genres with the results being displayed to a continuously updating user interface