QueST: Querying Music Databases by Acoustic and Textual Features

• Main Authors: CUI, Bin, LIU, Ling, Pu, Calton, SHEN, Jialie, TAN, Kian-Lee
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2007
• Subjects: Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/291; http://dx.doi.org/10.1145/1291233.1291465
• Institution: Singapore Management University

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...