QueST: Querying Music Databases by Acoustic and Textual Features
With continued growth of music content available on the Internet, music information retrieval has attracted increasing attention. An important challenge for music searching is its ability to support both keyword and content based queries efficiently and with high precision. In this paper, we present...
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Main Authors: | CUI, Bin, LIU, Ling, Pu, Calton, SHEN, Jialie, TAN, Kian-Lee |
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Format: | text |
Language: | English |
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Institutional Knowledge at Singapore Management University
2007
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Online Access: | https://ink.library.smu.edu.sg/sis_research/291 http://dx.doi.org/10.1145/1291233.1291465 |
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Institution: | Singapore Management University |
Language: | English |
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