Music subject classification based on lyrics and user interpretations
Author:
Affiliation:
1. School of Information Sciences; University of Illinois
2. Information School; University of Washington
3. Faculty of Education; University of Hong Kong
Publisher
Wiley
Subject
Library and Information Sciences,General Computer Science
Reference28 articles.
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2. Multimodal fusion for multimedia analysis: a survey;Atrey;Multimedia Systems,2010
3. Bainbridge , D. Cunningham , S. J. Downie , J. S. 2003 How people describe their music information needs: A grounded theory analysis of music queries Proceedings of the 4th International Symposium on Music Information Retrieval (ISMIR) 221 222
4. Barthet , M. Fazekas , G. Sandler , M. 2012 Music emotion recognition: From content-to context-based models International Symposium on Computer Music Modeling and Retrieval 228 252
5. Bertin-Mahieux , T. Ellis , D. P. Whitman , B. Lamere , P. 2011 The million song dataset Proceedings of the 12th International Symposium on Music Information Retrieval (ISMIR) 591 596
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