{"title":"基于EM算法的旋律分类","authors":"Yukiteru Yoshihara, T. Miura","doi":"10.1109/COMPSAC.2005.98","DOIUrl":null,"url":null,"abstract":"In this investigation we propose a novel technique to classify melodies by using EM algorithm. Here we generate classifiers based on naive Bayesian technique during FM steps. And we discuss the experimental results with several features of melodies and show we can get efficient classifiers by our approach.","PeriodicalId":419267,"journal":{"name":"29th Annual International Computer Software and Applications Conference (COMPSAC'05)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Melody classification using EM algorithm\",\"authors\":\"Yukiteru Yoshihara, T. Miura\",\"doi\":\"10.1109/COMPSAC.2005.98\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this investigation we propose a novel technique to classify melodies by using EM algorithm. Here we generate classifiers based on naive Bayesian technique during FM steps. And we discuss the experimental results with several features of melodies and show we can get efficient classifiers by our approach.\",\"PeriodicalId\":419267,\"journal\":{\"name\":\"29th Annual International Computer Software and Applications Conference (COMPSAC'05)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-07-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"29th Annual International Computer Software and Applications Conference (COMPSAC'05)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/COMPSAC.2005.98\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"29th Annual International Computer Software and Applications Conference (COMPSAC'05)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COMPSAC.2005.98","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this investigation we propose a novel technique to classify melodies by using EM algorithm. Here we generate classifiers based on naive Bayesian technique during FM steps. And we discuss the experimental results with several features of melodies and show we can get efficient classifiers by our approach.