{"title":"连续旋律轮廓相似度匹配的旋律数据库哼唱查询","authors":"Yongwei Zhu, M. Kankanhalli, Q. Tian","doi":"10.1109/MMSP.2002.1203293","DOIUrl":null,"url":null,"abstract":"Music query-by-humming is a challenging problem since the humming query inevitably contains much variation and inaccuracy. In this paper, we present a novel melody similarity matching technique, which is based on continuous melody contour. We introduce a contour alignment technique, which addresses the robustness and efficiency issues. We also present a new melody similarity metric, which is performed directly on continuous melody contours of the query data. This approach cleanly separates the alignment and similarity measurement in the retrieval process. Our melody alignment method can reduce the matching candidate to 1.7% with 90% correct alignment rate. The overall retrieval system achieved 88% correct retrieval in the top 20 rank lists.","PeriodicalId":398813,"journal":{"name":"2002 IEEE Workshop on Multimedia Signal Processing.","volume":"59 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":"{\"title\":\"Similarity matching of continuous melody contours for humming querying of melody databases\",\"authors\":\"Yongwei Zhu, M. Kankanhalli, Q. Tian\",\"doi\":\"10.1109/MMSP.2002.1203293\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Music query-by-humming is a challenging problem since the humming query inevitably contains much variation and inaccuracy. In this paper, we present a novel melody similarity matching technique, which is based on continuous melody contour. We introduce a contour alignment technique, which addresses the robustness and efficiency issues. We also present a new melody similarity metric, which is performed directly on continuous melody contours of the query data. This approach cleanly separates the alignment and similarity measurement in the retrieval process. Our melody alignment method can reduce the matching candidate to 1.7% with 90% correct alignment rate. The overall retrieval system achieved 88% correct retrieval in the top 20 rank lists.\",\"PeriodicalId\":398813,\"journal\":{\"name\":\"2002 IEEE Workshop on Multimedia Signal Processing.\",\"volume\":\"59 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-12-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"20\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2002 IEEE Workshop on Multimedia Signal Processing.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MMSP.2002.1203293\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2002 IEEE Workshop on Multimedia Signal Processing.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MMSP.2002.1203293","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Similarity matching of continuous melody contours for humming querying of melody databases
Music query-by-humming is a challenging problem since the humming query inevitably contains much variation and inaccuracy. In this paper, we present a novel melody similarity matching technique, which is based on continuous melody contour. We introduce a contour alignment technique, which addresses the robustness and efficiency issues. We also present a new melody similarity metric, which is performed directly on continuous melody contours of the query data. This approach cleanly separates the alignment and similarity measurement in the retrieval process. Our melody alignment method can reduce the matching candidate to 1.7% with 90% correct alignment rate. The overall retrieval system achieved 88% correct retrieval in the top 20 rank lists.