{"title":"音乐检索中通过哼唱进行查询的新方法","authors":"Lie Lu, Hong You, HongJiang Zhang","doi":"10.1109/ICME.2001.1237790","DOIUrl":null,"url":null,"abstract":"In this paper, we present a method for querying desired songs from music database by humming a tune. Since errors are inevitable in humming, tolerance should be considered. In order to suit or adapt to people’s humming habit, a new melody representation and new hierarchical matching method are proposed in this paper. Query processing and database processing algorithm are also described in detail. The proposed approach achieves high performance in experimental evaluation. For 88% queries, the correct song can be retrieved among the top 10 matches.","PeriodicalId":405589,"journal":{"name":"IEEE International Conference on Multimedia and Expo, 2001. ICME 2001.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"105","resultStr":"{\"title\":\"A new approach to query by humming in music retrieval\",\"authors\":\"Lie Lu, Hong You, HongJiang Zhang\",\"doi\":\"10.1109/ICME.2001.1237790\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we present a method for querying desired songs from music database by humming a tune. Since errors are inevitable in humming, tolerance should be considered. In order to suit or adapt to people’s humming habit, a new melody representation and new hierarchical matching method are proposed in this paper. Query processing and database processing algorithm are also described in detail. The proposed approach achieves high performance in experimental evaluation. For 88% queries, the correct song can be retrieved among the top 10 matches.\",\"PeriodicalId\":405589,\"journal\":{\"name\":\"IEEE International Conference on Multimedia and Expo, 2001. ICME 2001.\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-08-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"105\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE International Conference on Multimedia and Expo, 2001. ICME 2001.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICME.2001.1237790\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE International Conference on Multimedia and Expo, 2001. ICME 2001.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICME.2001.1237790","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A new approach to query by humming in music retrieval
In this paper, we present a method for querying desired songs from music database by humming a tune. Since errors are inevitable in humming, tolerance should be considered. In order to suit or adapt to people’s humming habit, a new melody representation and new hierarchical matching method are proposed in this paper. Query processing and database processing algorithm are also described in detail. The proposed approach achieves high performance in experimental evaluation. For 88% queries, the correct song can be retrieved among the top 10 matches.
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